software engineer

ai engineer

<div>Job Description:
<div>
AXA XL recognizes digital, data and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities. Data Science and AI assets should not only be high quality but also drive a sustained competitive advantage and deliver a superior experience to our internal, external customers and improve efficiency. Our Innovation, Data &amp; Analytics function is focused on driving innovation by optimizing how we leverage digital, data and AI to drive strategy and differentiate ourselves from the competition.
As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and strengthen our digital and AI capabilities, we are looking for an Associate AI Engineer. In this role, you will contribute to developing our AI technical capabilities, projects and products that seek to yield a significant business benefit and advantage in the market through execution on innovation.</div><div></div><h2 class="jobSectionHeader"> 
What you&rsquo;ll be doing</h2>
What will your essential responsibilities include?<ul><li>
Contribute into a team effort of building scalable AI capabilities to drive the solutions which will enable functions across the insurance value chain such as underwriting, pricing, claims, distribution, operations etc.</li><li>
Exercise and develop robust data science, GenAI and software development skills and support solution delivery by following the lead of senior technical members.</li><li>
Ensure high-quality software delivery by following code review process and standard.</li><li>
Be able to clearly communicate the expectations of development effort and help set up the project timeline by collaborating with project managers, senior data scientists and software developers</li></ul><div>
In this role, you will report to the Division Lead, Data Science and AI Excellence.</div><div></div><h2 class="jobSectionHeader"> 
What you&rsquo;ll bring</h2>
We&rsquo;re looking for someone who has these abilities and skills:
Required Skills and Abilities:<ul><li>
Hands-on knowledge and experience in the life cycle of AI technical capability development, from ideation and data exploration to model training, selection, deployment, and monitoring.</li><li>
Requires a combination of solid execution, strategic thinking and ability to &lsquo;connect the dots&rsquo;</li><li>
A minimum of a bachelor&rsquo;s or master&rsquo;s degree in a relevant discipline</li><li>
Supporting multiple specialty areas of Digital, Data and Analytics experience is preferred</li><li>
Passion for digital, data and AI and experience working within a digital and data driven Organization</li></ul><h2 class="jobSectionHeader">
Who we are</h2>
AXA XL, the P&amp;C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don&rsquo;t just provide re/insurance, we reinvent it.
How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business property, casualty, professional, financial lines and specialty.
With an innovative and flexible approach to risk solutions, we partner with those who move the world forward.
Learn more at axaxl.com<h2 class="jobSectionHeader">
What we offer
</h2>Inclusion
AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That&rsquo;s why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential. It&rsquo;s about helping one another &mdash; and our business &mdash; to move forward and succeed.<ul><li>
Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe.</li><li>
Robust support for Flexible Working Arrangements</li><li>
Enhanced family-friendly leave benefits</li><li>
Named to the Diversity Best Practices Index</li><li>
Signatory to the UK Women in Finance Charter</li></ul> 
Learn more at Inclusion &amp; Diversity at AXA XL | AXA XL. AXA XL is an Equal Opportunity Employer.
Total Rewards
AXA XL&rsquo;s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides competitive compensation and personalized, inclusive benefits that evolve as you do.
We&rsquo;re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence.
Sustainability
At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called &ldquo;Roots of resilience&rdquo;, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations.
Our Pillars:<ul><li>
Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society &ndash; are essential to our future. We&rsquo;re committed to protecting and restoring nature &ndash; from mangrove forests to the bees in our backyard &ndash; by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans.</li><li>
Addressing climate change: The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions.</li><li>
Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We&rsquo;re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting.</li><li>
AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL&rsquo;s &ldquo;Hearts in Action&rdquo; programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day &ndash; the Global Day of Giving.</li></ul><div></div> 
For more information, please see Sustainability at AXA XL.
The U.S. base salary range for this position is USD 66,000 &ndash; 105,100.
Actual pay will be determined based upon the individual&rsquo;s skills, experience and location. We strive for market alignment and internal equity with our colleagues&rsquo; pay.
At AXA XL, we know how important physical, mental, and financial health are to our employees, which is why we are proud to offer benefits such as a competitive retirement savings plan, health and wellness programs, and many other benefits. We also believe in fostering our colleagues' development and offer a wide range of learning opportunities for colleagues to hone their professional skills and to position themselves for the next step of their careers. For more details about AXA XL&rsquo;s benefits offerings, please visit US Benefits at a Glance 2025.</div>

Associate AI Engineer

Information Technology Senior Management Forum

<div><div>Posted Date
11/07/2025
</div><div>Description
<div>Senior Lead AI Engineer
Overview: 
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
In this role, you will:<ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li></ul><ul><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer 

New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer
Overview: 
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
In this role, you will:<ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li></ul><ul><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer 

New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
225,400.00 - 257,200.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Lead AI Engineer

Millennium Management

<div>AI Platform Engineer
We&rsquo;re seeking an AI Platform Engineer to contribute to the development and management of cutting-edge AI infrastructure for our complex enterprise environment. In this role, you&rsquo;ll harness your expertise to build infrastructure which enables your team and the firm to manage autonomous agents, machine learning systems and other applications in the AI domain.
You&rsquo;ll design and manage federated AI ecosystems, including MCP servers, agents and enterprise AI tooling, while orchestrating agent deployment across distributed systems and service buses. This role requires technical depth, strong communication, and a passion for building transformative AI infrastructure.
If you&rsquo;re ready to shape the future of AI and thrive in a fast-paced, innovative environment, we want to hear from you!
Key Responsibilities:<ul><li>
Design and implement AI infrastructure to support federated agent development and distributed deployment across the organization.</li><li>
Manage and orchestrate AI agents to generate architecturally sound code, ensuring adherence to enterprise standards and best practices.</li><li>
Build and maintain MCP (Model Context Protocol) servers and related infrastructure for agent communication, coordination, and enterprise service bus integration.</li><li>
Accelerate code review processes by leveraging AI agents for automated analysis, quality checks, and architectural validation.</li><li>
Establish robust monitoring, governance, and security frameworks for AI agent operations in enterprise environments.</li><li>
Implement and manage secure authentication and authorization systems for MCP servers, including OAuth flows and API security.</li><li>
Collaborate with development teams to integrate AI-powered tools into existing workflows and CI/CD pipelines.</li><li>
Act as a deployed engineer, traveling to different teams across the firm to teach AI infrastructure best practices and guide adoption.</li><li>
Provide technical leadership in transitioning traditional development practices to AI-augmented approaches.</li></ul>
Qualifications:<ul><li>
Experience: 8+ years of professional software development experience with a demonstrated ability to architect and build scalable systems.</li><li>
AI Infrastructure: Experience with AI/ML infrastructure, agent orchestration, or similar AI-powered development tools.</li><li>
Programming Skills: Proficiency in Python, TypeScript/JavaScript, and experience with AI/ML frameworks and libraries.</li><li>
Enterprise Architecture: Strong understanding of enterprise software architecture patterns and distributed systems design.</li><li>
Cloud Platforms: Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools.</li><li>
Containerization: Experience with Docker, Kubernetes, and container orchestration in production environments.</li><li>
API Design: Experience building and managing APIs, microservices, and event-driven architectures.</li><li>
Security: Strong understanding of information security principles, OAuth 2.0/OpenID Connect flows, API security, and secure system design.</li><li>
Communication: Strong communication and teaching skills with the ability to work as a deployed engineer across different teams.</li><li>
Education: Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.</li></ul>
Preferred Qualifications:<ul><li>
Experience with AI agent frameworks, LLM integration, or Model Context Protocol (MCP) implementations.</li><li>
Background in building federated systems or multi-tenant AI platforms.</li><li>
Experience with AI governance, security, and compliance in enterprise environments.</li><li>
Background in information security, penetration testing, or security architecture roles.</li><li>
Familiarity with code generation tools, automated testing frameworks, and AI-powered development workflows.</li><li>
Knowledge of vector databases, embedding systems, and retrieval-augmented generation (RAG) architectures.</li><li>
Experience in DevOps/Platform Engineering roles with focus on developer tooling and productivity.</li><li>
Previous experience managing transitions from traditional to AI-augmented development practices.</li></ul>
The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</div>

AI Platform Engineer

Cleary Gottlieb Steen & Hamilton LLP

<div>Overview:
<div>
Cleary Gottlieb is a pioneer in globalizing the legal profession. We have 14 offices in major financial centers around the world, but we operate as a single, integrated global partnership and not as a U.S. firm with a network of overseas locations. The firm employs approximately 1,100 lawyers from more than 50 countries.</div><div></div><div> 
Since 1946 our lawyers and staff have worked across practices, industries, jurisdictions, and continents to provide clients with simple, actionable approaches to their most complex legal and business challenges, whether domestic or international. We support every client relationship with intellectual agility, commercial acumen, and a human touch.</div><div></div><div> 
The Enterprise Applications team at Cleary Gottlieb is seeking a motivated, technically savvy, and business-oriented professional to serve as the initial point of technical contact for the firm&rsquo;s cloud-based and AI-powered business applications. This role bridges the gap between business needs and technology solutions, helping departments , configure, optimize, and integrate modern applications while ensuring compliance with the firm&rsquo;s security and governance standards.</div>
Responsibilities:
<ul><li>Serve as the primary technical owner and first point of technical contact for assigned cloud-based and AI applications.</li><li>
Develop a strong understanding of each application&rsquo;s purpose, functionality, and configuration.</li><li>
Partner with business users to gather, analyze, and translate requirements into actionable technical specifications.</li><li>
Learn and perform system administration tasks, including user management, data governance, configuration updates, and troubleshooting.</li><li>
Work with internal IT teams and external vendors to support application integrations, data flows, and enhancements.</li><li>
Assist Business and Product Owners in planning and implementing new application rollouts, upgrades, and feature adoption.</li><li>
Develop and maintain documentation, process guides, and assisting with developing user training materials.</li><li>
Monitor system performance and usage to identify opportunities for improvement.</li><li>
Stay informed on emerging AI and SaaS technologies relevant to the firm&rsquo;s business operations and legal practice areas.</li><li>
Communicate effectively with both technical and non-technical audiences, providing clear updates, recommendations, and training on application capabilities.</li><li>
Serve as the primary contact with the Information Security team to coordinate and complete security assessments, ensuring that assigned applications meet the firm&rsquo;s security, compliance, and data protection standards.</li></ul> 
<div></div>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in Information Systems, Computer Science, Business, or related field (or equivalent experience).</li><li>
5+ years of experience in application administration, business systems configuration, or similar roles.</li><li>
Direct, practical experience with AI systems, such as generative AI tools, workflow automation platforms, or AI-enhanced SaaS applications.<ul><li>
Examples include, but are not limited to, ChatGPT, Copilot, Harvey, Legora, or similar AI integration frameworks.</li></ul></li><li>
Proficient in prompt engineering, AI governance, and compliance frameworks related to AI model usage.</li><li>
Solid understanding of SaaS concepts, system integrations (APIs, SSO, etc.), and data governance principles.</li><li>
Demonstrated ability to evaluate and implement AI-driven features, including model configuration, data permissions, and usage governance.</li><li>
Strong ability to learn new applications quickly, develop subject-matter expertise, and translate technical concepts for non-technical users.</li><li>
Excellent communication, problem-solving, and interpersonal skills.</li><li>
Ability to work in a fast-paced environment with competing priorities.</li></ul><div>
 Preferred Qualifications:</div><ul><li>
Experience working in a professional services or law firm environment is a plus.</li><li>
Knowledge of legal workflows, document management systems, and enterprise tools such as iManage, Litera, or Intapp.</li></ul><div></div><div> 
The estimated base salary range for this position is $150,000 to $170,000 at the time of posting. The actual salary offered will depend on a variety of job-related factors, including skills, education, training, credentials, experience, scope and complexity of role responsibilities, geographic location, and performance. This role is exempt meaning it is not overtime pay eligible.</div><div></div><div> 
Cleary provides a comprehensive benefits package, including health care benefits. More information can be found here: Benefits</div><div></div><div> 
We are an equal opportunity employer. Consistent with these goals, the firm prohibits any form of discrimination or harassment based on any category protected by law. Cleary provides reasonable accommodations to enable otherwise qualified employees to perform the essential functions of their position, provided the accommodation does not pose an undue hardship to the Firm.</div></div>

Cloud & AI Applications Engineer

Decagon

<div>
 
 About Decagon
 
 
 
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
 
 
 Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
 
 
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values&mdash;
 
 customers are everything
 
 ,
 
 relentless momentum
 
 ,
 
 winner&rsquo;s mindset
 
 , and
 
 stronger together
 
 &mdash;shape how we work and grow as a team.
 
 
 
 About The Team
 
 
 
 The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon&rsquo;s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.
 
 
 Our mission is to deliver magical support experiences &mdash; AI agents working alongside human agents to help users resolve their issues.
 
 
 
 About The Role
 
 
 
 On the Agent Engineering team, you&rsquo;ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You&rsquo;ll work directly with leaders across industries like finance, healthcare, and hospitality, solving their users&rsquo; needs with reliable and intuitive AI agents.
 
 
 Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.
 
 
 This role is designed for candidates graduating between December 2025&ndash;July 2026. We are an in-person company based in San Francisco and New York.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
 </li>
 <li>
 Identify cross-customer trends that guide the evolution of Decagon&rsquo;s agent building platform and research efforts
 </li>
 <li>
 Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers
 
 
 </li>
 </ul>
 
 Your background looks something like this
 
 
 
 <ul>
 <li>
 Pursuing or completing a B.S. (or higher) in Computer Science or a related technical field
 </li>
 <li>
 Proficiency with Python, Typescript, and asynchronous programming
 </li>
 <li>
 Track record of building and shipping high-quality products and features through coursework, internships, or personal projects
 </li>
 <li>
 Excitement to thrive in a fast-paced environment, continuously learn, and sharpen your skills
 
 
 </li>
 </ul>
 
 Even better
 
 
 
 <ul>
 <li>
 Prior experience working with multi-modal models
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical, dental, and vision benefits
 </li>
 <li>
 Take what you need vacation policy
 </li>
 <li>
 Daily lunches, dinners, and snacks in the office to keep you at your best
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 $180K + Offers Equity
</div>

Agent Software Engineer - New Grad (2026 Start)

OpenAI

<div>
 
 About The Team
 
 
 
 We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API.
 
 
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. In this role, you will be bringing our large language models to millions of users around the world. Our users include everyday enthusiasts as well as professionals for ChatGPT, and everyone from hobbyists to large enterprises for the OpenAI API &mdash; you&rsquo;ll interface directly with users to develop the features they want most! You will also collaborate closely with the research teams that created the core models and work with them on continual improvement. You will be a key part of the effort to push these technologies forward, and onto the next 100x users.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Own the development of new customer-facing ChatGPT and OpenAI API features and product experiences end-to-end
 </li>
 <li>
 Talk to users to understand their problems and design solutions to address them
 </li>
 <li>
 Work with the research team to get relevant feedback and iterate on their latest models
 </li>
 <li>
 Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products
 </li>
 <li>
 Optimize applications for speed and scale
 
 
 </li>
 </ul>
 
 Your Background Looks Something Like
 
 
 
 <ul>
 <li>
 5+ years of relevant engineering experience at tech and product-driven companies
 </li>
 <li>
 Proficiency with JavaScript, React, and other web technologies
 </li>
 <li>
 Proficiency with some backend language (we use Python)
 </li>
 <li>
 Some experience with relational databases like Postgres/MySQL
 </li>
 <li>
 Interest in AI/ML (direct experience not required)
 </li>
 <li>
 Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $255K - $405K
</div>

Software Engineer, Full-Stack

Affinity

<div></div><div><div>New York, NY; San Francisco, CA; USA (Remote)
</div><div>Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network.

This role is part of the AI Insights team, which owns the services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers. As a Senior Machine Learning Engineer, you will collaborate with data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build AI systems that efficiently uncover insights from compelling business interaction data &ndash; an exciting and unique opportunity within the industry.

This is an applied machine learning position with a strong emphasis on engineering, not research. You will play a key role in advancing our ML Engineering capabilities, particularly in recommendation systems and information retrieval.

What you&rsquo;ll be doing:
<ul>
<li>Own the full ML lifecycle: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.</li>
<li>Translate business needs into ML solutions: Gather product requirements and translate them into robust ML system design requirements.</li>
<li>Build sophisticated recommendation and ranking systems: Design and implement ranking and recommendation systems using techniques such as learn-to-rank (LTR) and collaborative filtering.</li>
<li>Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.</li>
<li>Collaborate cross-functionally: Partner with cross-functional teams (product management, infrastructure, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations.</li>
</ul>
Qualifications

Don&rsquo;t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role, but your past experience doesn&rsquo;t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required:
<ul>
<li>5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production.</li>
</ul>
Recommendation Systems &amp; Information Retrieval:
<ul>
<li>Hands-on experience developing recommendation and ranking systems at scale, using techniques such as:</li>
<ul><li>Learn-to-rank (LTR) algorithms, including RankNet, LambdaRank, or similar approaches</li>
<li>Collaborative filtering and content-based filtering</li>
<li>Reranking strategies and hybrid search implementations</li>
<li>Information retrieval and relevance scoring</li>
</ul><li>Solid understanding of machine learning techniques, including clustering and decision forests.</li>
</ul>
ML Engineering:
<ul>
<li>Experiences with serving ML models for streaming and batch inference at scale.</li>
<li>Experience with vector databases (milvus, weaviate) or graph database (Neo4j)</li>
<li>Proficiency in Python and modern ML frameworks (PyTorch, Scikit-learn, or similar)</li>
<li>Track record of building maintainable, testable, and production-grade codebases</li>
<li>Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications</li>
</ul>
Nice to Have:
<ul>
<li>Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement.</li>
<li>Develop AI applications powered by LLMs and agent-based systems</li>
<li>Familiar with modern LLM development frameworks:</li>
<ul><li>Feature development: LangChain, LlamaIndex, or similar orchestration frameworks</li>
<li>Evaluation &amp; monitoring: LangSmith, Weights &amp; Biases, TruLens, DeepEval, Azure AI, or equivalent tools</li>
</ul><li>Experience with text-to-SQL (text2sql) generation or similar natural language to structured query tasks</li>
<li>Experience with packaging, CI/CD and pipeline automation.</li>
</ul>
Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference.

How we work:

Our culture is a key part of how we operate, as well as our hiring process:
<ul>
<li>We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.</li>
<li>We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with.</li>
<li>We make data-driven decisions and make the best decision for the moment based on the information available.</li></ul> 


What you'll enjoy at Affinity:
<ul>
<li>We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and &quot;taste the soup&quot; by diving deep into experiences to create the best outcomes for our colleagues and clients.</li>
<li>Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal &amp; sick days to support your well-being.</li>
<li>Retirement Planning: We offer a 401(k) plan to help you plan for your future.</li>
<li>Learning &amp; Development: We provide an annual education budget and a comprehensive L&amp;D program.</li>
<li>Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.</li>
<li>Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.</li>
</ul>
Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

A reasonable estimate of the current range is $106,200 to $210,000 USD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.
<div>About Affinity

With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. How? Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.

We use E-Verify

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.</div></div></div>

Senior Machine Learning Engineer, AI Insights

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