software engineer

ai engineer

Avallon AI (YC X25)

<div>
 
 About Us
 
 
 
 Avallon creates AI agents that make claims operations teams an order of magnitude more efficient. We grew revenue 10x in 3 months during Y Combinator, raised from top investors and are scaling fast.
 
 
 Claims operations are perfect for AI: repetitive work, high costs, and an aging workforce. We're automating everything from intake to settlement using voice AI and machine learning, creating AI agents that handle entire workflows autonomously.
 
 
 We're a team of engineers and operators with deep industry experience. We've scaled technology in complex, traditional industries and built products trusted by Fortune 500 companies. Our backgrounds span top institutions like Cornell, MIT, and HSG, and our work includes published research in NLP.
 
 
 
 About The Role
 
 
 
 
 What you'll work on
 
 
 
 <ul>
 <li>
 Build voice AI systems and document agent workflows that handle millions of claims - working with the latest AI technology as it emerges.
 </li>
 <li>
 Forward-deployed engineering - Work directly with customers to understand their workflows and build solutions that eliminate friction.
 </li>
 <li>
 Ship production TypeScript/Python code that processes real claims.
 </li>
 <li>
 Design APIs, data models, and integrations with claims management systems.
 
 
 </li>
 </ul>
 
 What You'll Need To Bring
 
 
 
 <ul>
 <li>
 Extreme agency: More than anything, we want to see a hunger to learn and a tenacity to solve problems. You thrive in ambiguity and early-stage building excites you.
 </li>
 <li>
 Proven builder: 3+ years shipping production systems users depend on in TypeScript, Python or Go.
 </li>
 <li>
 Backend expertise: REST, databases (PostgreSQL, Vector DBs), cloud systems (AWS, GCP), Docker, and architecture.
 </li>
 <li>
 Domain modeling fluency: You can translate complex business workflows into elegant technical systems and data models.
 </li>
 <li>
 Context over dogma: To you, engineering is about making high IQ trade-off decisions. You may care deeply about code quality, but you're not dogmatic and know when it's time to ship.
 
 
 </li>
 </ul>
 Bonus Points
 
 
 <ul>
 <li>
 Voice AI systems: Knowledge of voice platforms and telephony (Vapi, LiveKit, Twilio, Sip Trunking).
 </li>
 <li>
 Productizing LLMs: Experience with agents, limitations, robustness, tools, and function calling Experience with RAG pipelines, document processing, vector databases, and semantic search systems. Experience with LangGraph, Indexing.
 </li>
 <li>
 Tech Stack Experience: Previous work with Supabase, TypeScript, NextJS, Vercel, Docker, AWS, CI/CD pipelines, and GitHub Actions.
 
 
 </li>
 </ul>
 
 We offer
 
 
 
 Avallon is backed by YC and other top venture capital firms, enabling us to hire the best and compensate accordingly.
 
 
 <ul>
 <li>
 Impact: Engineer fully autonomous agents that process millions of claims.Your code will process millions of real claims.
 </li>
 <li>
 Excellence: We build small, talent-dense teams and compensate them well to do their best work with us and win.
 </li>
 <li>
 Learning &amp; Growth: Work at the cutting edge of AI technology. Solve complex problems others haven't tackled yet. Stay current with the latest in voice AI, LLMs, and agent systems while building production systems that push the boundaries of what's possible.
 </li>
 <li>
 Culture: No-nonsense, in-person collaboration in NYC. Direct access to founders, fast decisions, and the energy of building something transformative.
 </li>
 <li>
 Compensation - Significant equity, competitive salary
 </li>
 <ul>
 <li>
 Salary: $150,000 - $200,000
 </li>
 <li>
 Equity: 0.5% - 1.5%
 </li>
 </ul>
 <li>
 Benefits:
 </li>
 <ul>
 <li>
 Health: We cover 100% of medical, dental, and vision insurance, along with a generous monthly gym stipend.
 </li>
 <li>
 Office: We highly value in-person and have a gorgeous office in Williamsburg, NYC.
 </li>
 <li>
 Meals: We provide lunch and dinner every workday from local restaurants.
 </li>
 <li>
 Retreats: We prioritize quarterly off-sites to help our teams recharge and refocus.
 
 </li>
 </ul>
 </ul>
 If this excites you, we'd love to hear from you.
</div>

Founding Software Engineer

Visionairy

<div>
 
 
 About Visionairy
 
 
 
 
 
 
 
 Visionairy is building an AI-enabled analytics platform for eye care practices. We've raised pre-seed capital and are launching pilots with practices totaling 60+ eye doctors next month. Founded by a Yale-trained ophthalmologist with experience building AI applications, we're passionate about transforming eye care and reducing blindness through technology.
 
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 
 We're looking for a second software engineer to join as our 3rd team member. You'll work directly with our founder and Head of Engineering to build the technical foundation of our company. This is an opportunity to have significant ownership and grow into a senior engineer or tech lead role as we scale. The role is in person at our New York City office in Hudson Yards.
 
 
 
 
 
 
 
 What You'll Build
 
 
 
 
 
 <ul>
 <li>
 
 Platform Features: Core analytics engine that eye care practices rely on daily
 
 </li>
 <li>
 
 EMR Integrations: Secure, HIPAA-compliant API connections to EMR systems
 
 </li>
 <li>
 
 Data Infrastructure: Systems that transform unstructured clinical data into actionable insights
 
 </li>
 <li>
 
 Agentic AI: Agents which scrub EMR data to surface critical insights and then act on them to improve clinical efficiency and outcomes
 
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 
 
 <ul>
 <li>
 
 Exceptional software engineering capabilities, especially in Python
 
 </li>
 <li>
 
 Health tech experience is a plus, but not required, as you'll work directly with a trained ophthalmologist in this role
 
 </li>
 <li>
 
 Adaptable, self-directed, excited about building from the ground up
 
 </li>
 <li>
 
 Mission driven and genuinely excited about transforming eye care and reducing blindness through technology
 
 </li>
 </ul>
 
 
 
 
 
 Why Join Visionairy
 
 
 
 
 
 <ul>
 <li>
 
 Healthcare Impact: Your work directly helps eye care practices operate more efficiently and improve patient outcomes
 
 </li>
 <li>
 
 Early Stage Opportunity: Join as employee #3 with significant equity upside and technical ownership
 
 </li>
 <li>
 
 Expert Leadership: Work alongside a Yale-trained ophthalmologist who understands both the clinical challenges and technical solutions
 
 </li>
 <li>
 
 Growth Path: Clear opportunity to grow into senior engineer or tech lead as we scale the team
 
 </li>
 <li>
 
 Vision of the Future: We believe that increasing AI capabilities will radically improve and scale eye care for millions of patients and we&rsquo;re committed to building that future
 
 </li>
 </ul>
 
 
 
</div>

Software Engineer

Redrob

<div>
 
 
 Software Engineer (AI) - New Graduate
 
 
 
 
 
 
 
 Redrob | New York, NY | Hybrid
 
 
 
 
 
 
 
 About Redrob
 
 
 
 Redrob is a Series A blitzscaling startup building the Android to ChatGPT's iPhone - creating accessible, application-layer LLMs that democratize AI for businesses and professionals worldwide. With $14M in funding from top-tier investors (including early backers of SpaceX and Lyft) and the South Korean government, we're on a mission to bridge the technology gap between developed and emerging markets.
 
 
 Our global presence spans Seoul, New Delhi, Mumbai, and New York, positioning us at the forefront of making AI economically viable for every individual worldwide.
 
 
 
 
 
 
 The Role
 
 
 
 We're seeking a talented new graduate to join us as a Software Engineer (AI) and help build the technical foundation of accessible AI. You'll work on cutting-edge LLM applications, develop innovative AI infrastructure, and create solutions that bring advanced AI capabilities to millions of users in emerging markets.
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Build and optimize application-layer LLMs and AI systems that rival mainstream platforms
 </li>
 <li>
 Develop scalable AI infrastructure supporting our Borderless LLM platform
 </li>
 <li>
 Implement RLHF (Reinforcement Learning from Human Feedback) systems and human-in-the-loop training pipelines
 </li>
 <li>
 Write clean, efficient code for AI model deployment and API development
 </li>
 <li>
 Collaborate with global engineering teams across Seoul, New Delhi, Mumbai, and New York
 </li>
 <li>
 Contribute to our MCP (Model Context Protocol) and A2A marketplace development
 </li>
 <li>
 Optimize model performance and reduce inference costs for emerging market deployment
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Recent college graduate (Bachelor's degree obtained within the last 12 months)
 </li>
 <li>
 Degree in Computer Science, Engineering, Mathematics, or related technical field
 </li>
 <li>
 Strong programming skills in Python, JavaScript, or similar languages
 </li>
 <li>
 Understanding of machine learning concepts and LLM architectures
 </li>
 <li>
 Experience with AI/ML frameworks (PyTorch, TensorFlow, or similar) through coursework or projects
 </li>
 <li>
 Familiarity with modern development tools (Git, Docker, cloud platforms)
 </li>
 <li>
 Passion for making AI technology accessible to underserved markets
 </li>
 <li>
 Must be authorized to work in the United States (we cannot sponsor work visas at this time)
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 
 Base Compensation:
 
 $100,000 - $120,000 USD
 </li>
 <li>
 
 Benefits:
 
 Comprehensive health, dental, and vision insurance
 </li>
 <li>
 
 Retirement:
 
 401(k) plan
 </li>
 <li>
 
 Time Off:
 
 Unlimited PTO policy
 </li>
 <li>
 
 Work Style:
 
 Hybrid flexibility with our NYC office at 1 Penn Plaza
 </li>
 <li>
 
 Growth:
 
 Join a rapidly scaling startup with opportunities for accelerated career growth
 </li>
 <li>
 
 Impact:
 
 Work on products that democratize AI access for millions globally
 </li>
 </ul>
 
 
 
 
 
 Why Join Redrob?
 
 
 
 This is a rare opportunity to join a well-funded startup at an inflection point, working on technology that rivals the biggest names in AI. As a new graduate, you'll have unprecedented exposure to senior leadership, direct impact on product strategy, and the chance to grow your career alongside a company poised for explosive growth.
 
 
 If you're ready to build the future of accessible AI and make your mark on the global technology landscape, we want to hear from you.
 
 
 
 
 
 
 Apply now and help us build the world's most accessible, end-to-end AI stack.
 
 
 
 
 
 
 
 
 
 
 Redrob is an equal opportunity employer committed to building a diverse and inclusive team.
 
 
</div>

Software Engineer (AI)

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.
 
 
As a software development engineer (SDE) on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS&rsquo;s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.
 
 
Key job responsibilities 
<ul><li>Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
</li><li>LLM Customization &amp; Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
</li><li>Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
</li><li>Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions
</li></ul> 
About the team 
ABOUT AWS: 
 
Diverse Experiences
 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Work/Life Balance
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Inclusive Team Culture
 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
AWS Global Services 
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You&rsquo;ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years non-internship professional software development experience</li><li>2+ years non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)</li><li>Hands-on experience with generative AI technology</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>1+ years experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Machine Learning Engineer, Generative AI Innovation Center

Continua AI, Inc.

<div>
 Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. We were recently written up in this TechCrunch article.
 
 
 We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level.
 
 
 
 
 This position is based at our office in New York, NY. We are on-site 3+ days per week.
 
 
 
 
 As a Full-Stack Software Engineer, you will be responsible for building and scaling our AI-powered group conversation platform. You'll work across our tech stack, including Python and Go backend services, Postgres databases, and React frontend applications. You'll collaborate closely with the rest of our team to integrate cutting-edge AI models into user-facing features that delight our rapidly growing user base.
 
 
 We're seeking an experienced engineer who can balance technical excellence with product intuition, making smart UX decisions that help us move quickly in a fast-paced startup environment.
 
 
 
 What you&rsquo;ll work on:
 
 
 
 <ul>
 <li>
 Designing and implementing robust APIs and backend services using Python and Go to power our AI agent platform
 </li>
 <li>
 Designing and optimizing how our data is stored to handle our growing user base
 </li>
 <li>
 Working with our ML engineers to integrate AI models into production systems, writing the code that connects our models to user experiences
 </li>
 <li>
 Building responsive, intuitive React applications using Tailwind CSS
 </li>
 <li>
 Partnering with our CEO, product manager, and designer to translate requirements into technical solutions, using your judgment to make good UX decisions when moving fast
 </li>
 <li>
 Ensuring our applications can handle rapid user growth while maintaining excellent performance and reliability
 
 
 </li>
 </ul>
 
 Who you are:
 
 
 
 <ul>
 <li>
 5+ years of full-stack software engineering experience
 </li>
 <li>
 Solid experience with SQL and database design, preferably with Postgres experience
 </li>
 <li>
 Experience building modern web apps with React and CSS frameworks like Tailwind
 </li>
 <li>
 Strong product intuition and design fundamentals
 </li>
 <li>
 Proven ability to take ownership and thrive in a fast-moving startup environment
 
 
 </li>
 </ul>
 
 Nice-to-haves:
 
 
 
 <ul>
 <li>
 Experience integrating machine learning models into production applications
 </li>
 <li>
 Familiarity with Google Cloud Platform (GCP) and infrastructure tools like Terraform
 </li>
 <li>
 Background in AI/ML or natural language processing
 </li>
 <li>
 Experience building real-time or conversational applications
 </li>
 <li>
 Previous experience at high-growth startups or building products from 0 to 1
 
 
 </li>
 </ul>
 
 A little about us:
 
 
 
 Our team is a fantastic bunch of accomplished engineers and researchers from Google, Disney, and various AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people.
 
 
 
 Compensation &amp; Benefits:
 
 
 
 We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history!
 
 
 
 
 Our opportunities are on-site, 3 days per week.
 
 
 
 
 
 To apply:
 
 
 
 To be considered for an opening, please submit your application at the link below.
 
 
 We welcome
 
 referrals
 
 ! If you know someone exceptional, please email us at jobs@continua.ai.
 
 
</div>

Full-Stack Software Engineer

DataAnnotation

<div>
 We are looking for a UI Developer to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. To apply to this role, you will need to be proficient in either Python and/or JavaScript. Your role will require proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) in order to solve coding problems (think LeetCode, HackerRank, etc). For each coding problem, you must be able to explain how your solution solves the problem.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots coding challenges and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Experience with algorithms, data structures, and debugging workflows
 </li>
 <li>
 A current, in progress, or completed Masters and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #coder
</div>

UI Developer

American Express

<div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
How will you make an impact in this role?
Responsibilities:<ul><li>
Work with cross-functional teams, fostering a culture of technical excellence, collaboration, and innovation.</li><li>
Lead and collaborate within Agile teams to deliver chatbot-related data features, support business and product changes, and drive sprint prioritization.</li><li>
Stay current with emerging database technologies, big data platforms, and AI/ML capabilities&mdash;driving adoption of best practices across the organization.</li><li>
Convert logical chatbot data architectures into robust physical designs; develop and test database solutions supporting natural language processing and chatbot intent systems.</li><li>
Administer and optimize databases, data warehouses, and datamarts to ensure performance, scalability, and reliability.</li><li>
Diagnose and resolve chatbot data performance issues&mdash;ensuring optimal replication, high availability, and effective analytical strategies.</li><li>
Develop and enforce standards for chatbot data management, security, and governance, while contributing to tooling and methodology decisions.</li><li>
Enhance Big Data strategies by designing advanced indexing, partitioning, and query optimization solutions to support real-time chatbot decision making.</li><li>
Partner with product and business teams to align chatbot engineering solutions with enterprise objectives and customer experience goals.</li></ul>
Education &amp; Knowledge:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or related field (or equal experience).</li><li>
Strong knowledge of Big Data / NoSQL design and development (document, column family, graph data stores).</li><li>
Deep understanding of database management systems: storage formats, replication, encryption, performance tuning, and high availability.</li><li>
Proficiency with distributed systems, algorithms, and both relational &amp; non-relational databases.</li><li>
Familiarity with machine learning, AI, relational database systems, and open-source data technologies.</li></ul> 
Experience:<ul><li>
Proven experience in data engineering, chatbot systems, or related roles.</li><li>
Expertise in SQL and Python (Java or other programming languages a plus).</li><li>
Hands-on experience with database ecosystems such as HBase, Hive, GCP tools, NoSQL (MongoDB, Cassandra, Redis, Couchbase), BigQuery, Spanner, PostgreSQL, Oracle, or DB2.</li><li>
Background in chatbot-specific data pipelines, conversational AI metrics (e.g., RAG response rate, temperature impact), and NLP model integration is highly desirable.</li><li>
Strong experience in performance tuning for Big Data and AI workloads.</li><li>
Knowledge of Agile, Scrum, XP, or other modern software delivery methodologies.</li><li>
Infrastructure design expertise (e.g., storage integration, cloud data services).</li><li>
Experience with ServiceNow data.</li></ul>

Salary Range: $123,000.00 to $215,250.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>
Competitive base salaries</li><li>
Bonus incentives</li><li>
6% Company Match on retirement savings plan</li><li>
Free financial coaching and financial well-being support</li><li>
Comprehensive medical, dental, vision, life insurance, and disability benefits</li><li>
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need</li><li>
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy</li><li>
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</li><li>
Free and confidential counseling support through our Healthy Minds program</li><li>
Career development and training opportunities</li></ul>
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the &ldquo;Know Your Rights&rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.</div>

Senior Data Engineer - Digital Workplace

Explore 126+ Ai engineer in New York this October. Find roles across top companies and apply now to boost your career.