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ai engineer ii

American Express

<div>Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The Technology organization enables and accelerates the company&rsquo;s growth strategies, delivering global capabilities and services in support of Amex&rsquo;s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
American Express Technologies is seeking an Engineer with advanced skills in Generative AI and Data Engineering to join our Production Management tooling team. Our mission is to transform how critical platforms are supported by embedding AI-first solutions into event management and system reliability. We are looking for highly motivated, creative problem solvers who are excited to design and implement innovative AI tools that address complex business challenges at scale.</div>
 <div><ul><li>Demonstrated passion for Generative AI and its application to real-world business problems.
</li><li>Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures.
</li><li>Strong programming skills in Python (preferred) and/or Go, with proven ability to build both prototypes and production applications.
</li><li>Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases.
</li><li>Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
</li><li>Proficiency in deploying AI-enabled applications using cloud platforms and containerized environments (Kubernetes, Docker, OpenShift).
</li></ul>Preferred Qualifications
<ul><li>Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows.
</li><li>Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods.
</li><li>Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK.
</li><li>Familiarity with APIs, microservices, and web technologies (React, NodeJS, SQL) to deliver end-to-end solutions.
</li><li>3&ndash;5 years of relevant work experience with a Bachelor&rsquo;s degree in Computer Science, Data Science, or related field.
</li><li>Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.</li></ul></div>
 <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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you&rsquo;ll experience our 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.</div>
 <div>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 .
<div>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 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. 
</div><div></div> 
<div>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. 
</div><div></div> 
<div>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.</div></div><div></div>

AI Engineer II

Didero

<div>
 At Didero, we&rsquo;re building the autonomous supply chain, starting with agentic supplier management.
 
 
 Global trade has never been more complex or more critical. Teams are underwater, reacting to a flood of challenges &mdash; from geopolitical risk to tariffs. Didero helps by automating time-intensive workflows with AI agents, deploying cutting-edge technology into one of the world&rsquo;s most vital domains.
 
 
 We&rsquo;re backed by some of the world&rsquo;s best venture funds and leading figures across AI, supply chain, and enterprise software.
 
 
 
 About The Role
 
 
 
 We're hiring an AI Applied Engineer to sit at the intersection of machine learning, agentic systems, and production software. You'll own the design and development of AI-powered workflows that automate high-stakes supply chain operations &mdash; building systems that actually think, act, and learn
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Design and ship production AI agents that automate supplier management workflows
 </li>
 <li>
 Own the full AI stack: model selection, prompt engineering, tool use, RAG pipelines, evals, and reliability.
 </li>
 <li>
 Architect agentic systems that integrate with communication platforms, ERPs, and third-party APIs.
 </li>
 <li>
 Drive quality through rapid iteration, build fast without shipping fragile systems.
 </li>
 <li>
 Collaborate with product and domain experts to translate messy real-world workflows into clean, scalable AI solutions.
 </li>
 <li>
 Shape how we approach applied AI at the company level, your opinions on architecture and methodology will matter.
 
 
 </li>
 </ul>
 
 
 You&rsquo;ll be successful in this role if you&hellip;
 
 
 
 
 <ul>
 <li>
 Have hands-on experience building and deploying LLM-based applications or AI agents in production.
 </li>
 <li>
 Think in systems; you understand how prompts, retrieval, memory, and tool calls interact at scale.
 </li>
 <li>
 Care about outcomes, not just outputs, you build evals and measure what matters.
 </li>
 <li>
 Are comfortable in ambiguous, fast-moving environments with short feedback loops.
 </li>
 <li>
 Write clean, maintainable code across the backend and can collaborate on frontend integrations.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 8+ years as an autonomous, resourceful engineer building and scaling real-world applications.
 </li>
 <li>
 Proven experience with LLMs, agentic frameworks (Pydantic, LangChain, LlamaIndex, custom), and AI workflow tooling.
 </li>
 <li>
 Strong Python (Django or FastAPI) and familiarity with TypeScript / React for integration work.
 </li>
 <li>
 Deep understanding of modern AI primitives: function calling, RAG, embeddings, structured outputs, evals.
 </li>
 <li>
 Strong communication skills, able to bridge technical and non-technical stakeholders effectively.
 
 
 </li>
 </ul>
 
 Bonus Points For:
 
 
 
 <ul>
 <li>
 Startup experience; founding engineer or early team member at a high-growth company.
 </li>
 <li>
 Experience with B2B SaaS workflow automation and complex enterprise integrations.
 </li>
 <li>
 Background in supply chain, procurement, or logistics tech.
 </li>
 <li>
 Designing highly scalable and distributed AI systems.
 </li>
 <li>
 Experience with a strongly typed language like C++, Java, Rust, Go
 </li>
 <li>
 Has a strong understanding of system design, object oriented programming and good programming fundamentals.
 
 
 </li>
 </ul>
 
 
 Tech Stack
 
 
 
 
 Django
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 React
 </li>
 <li>
 TypeScript
 
 
 </li>
 </ul>
 
 
 What We Value
 
 
 
 
 <ul>
 <li>
 We make the world feel smaller - We support each other and break down boundaries, both internally and for our customers
 </li>
 <li>
 We build supply chain magic - We push the boundaries of what technology can do and go above and beyond for our users
 </li>
 <li>
 We are lifelong learners - We move fast, embrace failure, and give feedback generously
 </li>
 <li>
 We show up - We&rsquo;re scrappy entrepreneurs, no job is beneath us
 </li>
 <li>
 We BELIEVE! - We&rsquo;re building a great, enduring company and we have fun doing it.
 
 
 </li>
 </ul>
 
 
 What we offer:
 
 
 
 
 <ul>
 <li>
 Competitive compensation and equity
 </li>
 <li>
 Medical, dental, and vision insurance
 </li>
 <li>
 Unlimited PTO &mdash; we trust you to take the time you need
 </li>
 <li>
 Monthly wellness stipend via ClassPass
 </li>
 <li>
 Tech equipment for your setup
 </li>
 <li>
 Catered lunches (for those in the office)
 
 
 </li>
 </ul>
 Compensation Range: $200K - $300K
 
 
</div>

Applied AI Engineer

Energy Solutions

<div><div>Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we've harnessed that power to offer proven, performance-based solutions for our utility, government, and institutional customers.</div>
We are seeking a Quality Control Engineer II to join our Information Systems. In this opportunity, you will dive into our core systems&mdash;including our vital IRIS platform&mdash;to champion the accuracy, reliability, and sheer excellence of complex technology solutions. This isn't just about finding bugs; it's your opportunity to actively shape our testing philosophies, elevate quality practices, and pioneer robust validation strategies across our entire software and data ecosystem.

Operating with immense independence, you will design, write, and execute brilliant automated and manual tests, tackling complex technical challenges head-on. You will partner dynamically with engineering teams to supercharge test coverage and ensure flawless delivery, while serving as an inspiring technical mentor and peer trainer who elevates junior engineers through hands-on coaching. If you are a seasoned pro with sharp automation skills who can develop automated UI tests with minimal ramp-up and a passion for driving long-term process evolution, we want you to lead the charge in our quality revolution.

The person filling this role will be required to work in a hybrid work environment adjacent to one of our offices in Oakland, CA; Orange, CA; New York, NY; Portland, OR; Boston, MA; or Chicago, IL 


Responsibilities include, but are not limited to:
<ul>
<li>Design, execute, and maintain manual and automated test approaches for software features, workflows, and integrated systems</li>
<li>Develop and enhance automated testing frameworks and CI/CD quality integrations to improve reliability and scalability</li>
<li>Design and apply test approaches for assigned projects across functional, regression, integration, performance, and security testing</li>
<li>Improve and monitor quality metrics for assigned projects to evaluate test effectiveness, defect trends, and coverage</li>
<li>Partner with engineering teams to integrate testing practices into development, deployment, and release workflows</li>
<li>Develop, maintain, and execute automated test suites using tools such as Selenium, Cypress, Playwright, or Pytest</li>
<li>Write and improve automated UI tests based on prior automation experience and team practices</li>
<li>Perform hands-on testing across assigned systems and projects to identify defects, validate functionality, and reduce delivery risk</li>
<li>Conduct root cause analysis on recurring issues and support preventive actions to reduce defect recurrence</li>
<li>Support quality gate adherence within CI/CD processes and release workflows</li>
<li>Apply testing practices that align with expectations related to privacy, security, accessibility, and quality standards</li>
<li>Serve as a peer mentor and trainer to Quality Control Engineers I and II by sharing expertise and guiding testing practices</li>
<li>Evaluate and adopt new tools, automation techniques, and testing frameworks that improve efficiency and coverage</li></ul> 


Minimum Qualifications:
<ul>
<li>Bachelor's degree in Computer Science, a related technical field, or equivalent technical experience</li>
</ul><ul><li>Six years of experience testing software products in a professional setting</li>
</ul><ul><li>Demonstrated experience designing, developing, and executing test automation and quality assurance practices within complex software environments</li>
</ul><ul><li>Experience working with Agile methodologies and CI/CD environments to support reliable, efficient, and scalable software delivery</li>
</ul><ul><li>Proficiency with test automation tools and frameworks (e.g., Selenium, Cypress, Playwright, Pytest, or similar)</li>
</ul><ul><li>Strong written and verbal communication skills, with the ability to clearly communicate technical findings, testing outcomes, and quality risks to cross‑functional stakeholders</li>
</ul><ul><li>Proficiency in test automation and programming, with the ability to design, write, and maintain automated test cases (including UI tests) and supporting frameworks</li>
</ul><ul><li>Ability to analyze system behavior, identify defects, and resolve complex testing issues independently once familiar with the system and product landscape</li>
</ul><ul><li>Ability to influence testing approaches and quality decisions by providing informed input on coverage, prioritization, and test strategy</li>
</ul><ul><li>Demonstrated ability to evaluate and adopt new testing tools and technologies to improve testing effectiveness and efficiency</li></ul> 


The salary range for this role is $108,000&ndash;$125,000, with a target compensation of $108,000 - $118,000 based on experience and qualifications.<div>
Compensation is commensurate with experience and includes a generous retirement package. Energy Solutions provides an excellent benefits package including medical, dental and vision insurance, other pre-tax contribution plans and an Employee Stock Ownership Plan (ESOP).

AI Use
At Energy Solutions we believe in the importance of authentic interactions and equitable opportunities. We base our candidate selection on one's own skills, knowledge, and experience. To ensure the integrity and fairness of our interview process, the use of artificial intelligence (AI) tools (including Generative AI) or other means to generate or assist with responses during interviews is strictly prohibited. This practice supports our commitment to create a transparent and equitable space where skills, knowledge and experience can truly shine.

Equal Opportunity Employer

Energy Solutions is an affirmative action-equal opportunity employer and prohibits discrimination and harassment of any type. We afford equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristics protected by law. Energy Solutions conforms to the spirit as well as to the letter of all applicable laws and regulations.

Office Locations and a Remote Workforce

Energy Solutions operates as a predominantly remote workforce with offices in six different locations. Employees who reside within 40 miles of an office (except New York) will be assigned to that location, though in-office attendance requirements may vary by team. At this time, we are not accepting applications from candidates residing in the following states: Delaware, Kentucky, Mississippi, Montana, Nebraska, and North Dakota.

Background Check Information

Information will be requested to perform the compulsory background check. A drug screen and authorization to work in the U.S. indefinitely are preconditions of employment. Energy Solutions is an equal opportunity employer.

Reasonable Accommodations

Energy Solutions is committed to providing access and reasonable accommodation for individuals with disabilities. If you require accommodations in completing this application, interviewing, and/or completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodation@energy-solution.com.

Privacy Notice for Job Applicants</div></div>

Quality Control Engineer III (Hybrid - New York, NY)

Traversal

<div><h3 class="jobSectionHeader">About Traversal</h3>
Traversal is the AI Site Reliability Engineer (SRE) for the enterprise&mdash;already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work.
Our roots remain deeply embedded in AI research, and we&rsquo;re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we&rsquo;re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.<h3 class="jobSectionHeader">
The Role</h3>
As a Product Engineer at Traversal, you&rsquo;ll play a key role in designing and building core features powered by our AI site reliability engineer. From the user interface to the backend and infrastructure, you&rsquo;ll develop product components to enable real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. This role will focus on the ability to work across the full pipeline of our product, and someone who can have a strong product sense while also being comfortable working around AI and data processing infrastructure will be the best fit.<h3 class="jobSectionHeader">
Responsibilities</h3><ul><li>
Product Impact: Translate AI-powered insights into user-friendly features that empower engineers and reduce cognitive load.</li><li>
User Experience: Innovate and drive the evolution of UX/UI design, rapidly iterating based on user feedback to improve overall usability.</li><li>
Agent Development: Build AI agents with a mind for user-experience and capabilities like long-horizon work, proactiveness, readability, and evidence citation.</li><li>
API Development: Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces.</li><li>
Data Management: Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others.</li><li>
AI Integration: Collaborate with AI engineers/researchers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks.</li><li>
Data Visualization: Develop intuitive interfaces for presenting and interacting with complex time-series and topological data.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
4+ years of software engineering experience, with a strong focus on full-stack systems.</li><li>
Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure.</li><li>
Strong experience with Python and web frameworks such as FastAPI.</li><li>
Hands-on experience with React, TypeScript, Next.js, and TailwindCSS to build fast, responsive, and maintainable frontends.</li><li>
Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage.</li><li>
Note: You don&rsquo;t need to meet every single requirement. If you have deep experience in a subset of these areas, we encourage you to apply.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Familiarity with Python-based ecosystems is a plus.</li><li>
Experience working with Agentic AI systems or in the observability domain.</li><li>
Background in large-scale, complex, data-driven applications.</li><li>
Familiarity with building AI or LLM-powered products.</li></ul><h3 class="jobSectionHeader">
Compensation</h3>
We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000&ndash;$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.<h3 class="jobSectionHeader">
Why You Should Join Us</h3>
We&rsquo;ll make sure you&rsquo;re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team.
Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance.
Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.</div>

Product Engineer

Inherent Technologies

<div>
 
 Job Description
 
 
 
 Seeking a
 
 hands-on AI Engineer/Developer
 
 to rapidly prototype and deliver AI-driven solutions across investment, research, and trading functions. This role is ideal for someone who can bridge
 
 financial domain knowledge with applied AI/ML development
 
 , building proof-of-concepts that can evolve into production-grade tools supporting investment decision-making.
 
 
 
 Key Responsibilities
 
 
 
 Design and develop
 
 AI/ML prototypes
 
 using Python to support investment research, portfolio analytics, and trading insights
 
 
 Build and test
 
 LLM-based and data-driven use cases
 
 (e.g., research summarization, signal generation, document analysis, automation)
 
 
 Work closely with
 
 investment professionals, research teams, and data engineers
 
 to translate business needs into functional AI solutions
 
 
 Develop and integrate
 
 data pipelines, APIs, and analytical models
 
 to support rapid experimentation
 
 
 Leverage tools such as
 
 Jupyter, Pandas, NumPy, LangChain, and cloud AI services (AWS/Azure/OpenAI)
 
 
 
 Perform
 
 data exploration, feature engineering, and model validation
 
 on financial datasets
 
 
 Iterate quickly on prototypes, incorporating feedback to refine models and outputs
 
 
 Ensure solutions consider
 
 data security, governance, and compliance
 
 within a financial services environment
 
 
 
 Required Qualifications
 
 
 
 10+ years of experience in
 
 Python development
 
 with strong hands-on coding ability
 
 
 Experience building
 
 AI/ML or LLM-based applications and prototypes
 
 
 
 Exposure to
 
 financial services, asset management, trading, or investment research
 
 
 
 Strong experience with
 
 data analysis libraries
 
 (Pandas, NumPy) and working with structured/unstructured data
 
 
 Familiarity with
 
 APIs, microservices, and cloud platforms (AWS, Azure, or GCP)
 
 
 
 Ability to work in a
 
 fast-paced, iterative environment
 
 with direct interaction with business stakeholders
 
 
 
 Preferred Qualifications
 
 
 
 Experience with
 
 LLM frameworks
 
 (LangChain, RAG architectures, vector databases)
 
 
 Knowledge of
 
 financial data sets, market data, or portfolio analytics
 
 
 
 Experience prototyping tools for
 
 quant research, credit analysis, or trading workflows
 
 
 
 Familiarity with
 
 Snowflake, Databricks, or modern data platforms
 
 
 
 
 What Success Looks Like
 
 
 
 Rapid delivery of
 
 high-impact AI prototypes
 
 that demonstrate clear business value
 
 
 Strong collaboration with front-office teams to
 
 solve real investment and research problems
 
 
 
 Ability to evolve prototypes into scalable solutions in partnership with engineering teams
</div>

Python Developer/AI Engineer

Paramount

<div>
 
 #WeAreParamount on a mission to unleash the power of content&hellip; you in?
 
 
 
 We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the power to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture.
 
 
 
 Job Title
 
 : Software Engineer - AI Tooling &amp; Quality Engineering Platforms
 
 
 
 Team
 
 : Global Quality Engineering (GQE)
 
 
 
 Location
 
 : New York City, Los Angeles, San Francisco
 
 
 
 Overview
 
 
 
 Paramount Skydance Corp is seeking a Software Engineer to build AI‑powered tools, backend services, and internal platforms that support the Global Quality Engineering organization.
 
 This is not an &ldquo;in test&rdquo; role
 
 &mdash; you will be developing production‑grade software that accelerates test creation, triage, analysis, and automation workflows across GQE. You will contribute to intelligent systems that improve engineering efficiency and modernize how quality engineering is performed at scale.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build backend services, CLIs, and internal tools that integrate AI capabilities into GQE workflows.
 </li>
 <li>
 Implement features for AI‑assisted test generation, log summarization, and defect triage.
 </li>
 <li>
 Contribute to RAG pipelines, embeddings workflows, and LLM‑powered utilities under senior guidance.
 </li>
 <li>
 Integrate AI tooling into CI/CD pipelines and existing automation frameworks.
 </li>
 <li>
 Collaborate with QE, Platform, and Data Engineering teams to understand requirements and deliver practical solutions.
 </li>
 <li>
 Write clean, maintainable code and participate in code reviews and engineering best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience (Java, Kotlin, Python, or similar).
 </li>
 <li>
 Experience building backend services, APIs, or internal tools.
 </li>
 <li>
 Familiarity with LLMs, embeddings, or AI‑assisted development tools (GitHub Copilot, Cursor, etc.).
 </li>
 <li>
 Understanding of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
 </li>
 <li>
 Strong problem‑solving skills and interest in AI‑driven engineering.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Curiosity and willingness to learn AI‑driven engineering.
 </li>
 <li>
 Proficient coding fundamentals and attention to detail.
 </li>
 <li>
 Collaboration and communication across engineering teams.
 </li>
 <li>
 Ownership of assigned features and components.
 
 
 </li>
 </ul>
 
 Success Metrics
 
 
 
 <ul>
 <li>
 Delivery of reliable features within AI tooling platforms.
 </li>
 <li>
 Improved triage and test‑creation efficiency for GQE teams.
 </li>
 <li>
 Positive feedback from internal users on usability and impact.
 </li>
 <li>
 High code quality and consistent contribution to team velocity.
 
 
 </li>
 </ul>
 Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment&trade;. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME&reg;.
 
 
 
 Additional Information
 
 
 
 Hiring Salary Range: $115,920.00 - 173,880.00.
 
 
 The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
 
 
 
 What We Offer:
 
 
 
 <ul>
 <li>
 Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
 </li>
 <li>
 Generous paid time off.
 </li>
 <li>
 An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.
 </li>
 <li>
 Opportunities for both on-site and virtual engagement events.
 </li>
 <li>
 Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
 </li>
 <li>
 Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount
 
 
 </li>
 </ul>
 Paramount is an equal opportunity employer (EOE) including disability/vet.
 
 
 At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
 
 
 If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
 
 
</div>

Software Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. 
 
As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. 
 
Utility Computing (UC) 
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. 
 
Key job responsibilities 
<ul><li>Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing.</li><li>Build and own critical infrastructure powering Amazon's next-generation AI capabilities</li><li>Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems</li><li>Optimize existing algorithms and systems for performance, scalability, and reliability</li><li>Contribute to the full software development lifecycle, from conception to production deployment</li><li>Mentor junior engineers and promote best practices in software development and AI implementation</li></ul> 
A day in the life 
<ul><li>Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon</li><li>Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering</li><li>Growth: Learn from experts while working with the latest in AI technology</li><li>Purpose: Help shape responsible AI development practices and sustainable computing</li><li>Team: Join a collaborative environment focused on solving complex, meaningful challenges</li></ul> 
This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. 
 
About the team 
AWS 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. 
 
Inclusive Team Culture Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; 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. 
 
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.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of 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></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. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually</div>

Software Development Engineer, Data Analytics Integration AI and Platform Excellence

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