ai systems engineer

American Express

<div><p>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.
</p><p>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.
</p><p>At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.
</p><p>Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences&mdash;while meeting the high standards for security, explainability, reliability, and compliance required in financial services.
</p><p>We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow.
</p><p><b>The Role
</b></p><p>As a Senior AI Engineer I &ndash; Agentic AI, you will be a core builder responsible for turning complex, ambiguous problems into production-grade agentic systems that operate on real financial data, serve real customers, and meet real regulatory requirements.
</p><p>You will work end to end: shaping solutions with product and design, building and shipping production code, and owning what you deliver after launch. The scope of this role spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that enable other engineers to build with AI safely and efficiently.
</p><p>This is not a research-only role. We are looking for engineers who are comfortable operating with autonomy, exercising sound judgment, and pushing the technical envelope within the realities of a regulated financial environment.</p></div><p></p>
<br><div><ul><li>5+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
</li><li>A track record of shipping AI-powered or agentic systems that real users depend on.
</li><li>Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
</li><li>Hands-on experience with modern LLM tooling and agentic patterns and architectures.
</li><li>Fluency with AI-assisted and agentic development workflows.
</li><li>Strong sense of ownership and sound technical judgment.
</li><li>Comfort operating with ambiguity and turning it into shipped reliable product.
</li>A strong product mindset and customer orientation.<br>
<li>
</li></ul><p></p><p><b>Preferred Qualifications
</b></p><ul><li>Experience building agentic systems in fintech or other regulated industries.
</li><li>Experience as a founding engineer or early technical contributor in high-growth environments.
</li><li>Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
</li><li>Meaningful open-source contributions, particularly in AI or developer tooling.
</li><li>Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.</li></ul></div>
<br><div><p>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.
</p><p>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.</p></div>
<br><div><p>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:
</p><p></p><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><p>For a full list of Team Amex benefits, visit out Colleague Benefits Site .
</p><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.<br>
</div><div></div><br>
<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.<br>
</div><div></div><br>
<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>

Senior AI Engineer I - Agentic AI

Niural AI

<div>
 <strong>
  AI Product Operator Intern
  <br/>
  <br/>
 </strong>
 <strong>
  About Niural
  <br/>
  <br/>
 </strong>
 At Niural, we're not just building products; we're redefining how companies operate in a new era of the internet driven by AI. We're creating truly global solutions that empower businesses to thrive in the digital economy. If you're eager to join a relentlessly ambitious team, develop tools that will influence the flow of billions of dollars, and share in the asymmetric financial rewards of building foundational internet infrastructure, then come help us shape the future of finance.
 <br/>
 <br/>
 We are a global Payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. As we scale, we are looking for an AI Operator to work alongside our Product team and build the internal tools and AI systems that eliminate manual work across the organization.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 You are a builder. The Product Manager will identify and prioritize what needs to be automated. Your job is to take those problems and turn them into working systems, fast. You will code, architect AI workflows, deploy internal tools, and leverage AI-native development tools like Claude Code to ship at a pace that would normally require a much larger team.
 <br/>
 <br/>
 This role is for someone with a strong engineering mindset who is comfortable writing production-quality code, wiring up complex multi-step AI pipelines, and deploying tools that real teams rely on every day.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <strong>
  Build Internal Tools
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing teams
  </li>
  <li>
   Use frameworks like React, Next.js, Python/FastAPI, or similar to build tools that are fast, reliable, and easy for non-technical teammates to use
  </li>
  <li>
   Own the full lifecycle: build, deploy, monitor, and iterate
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Engineer AI Workflows &amp; Agents
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build complex, multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n AI agents), and RAG pipelines
  </li>
  <li>
   Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge base Q&amp;A
  </li>
  <li>
   Implement robust prompt engineering, output validation, and error handling to ensure AI systems perform reliably at scale
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Integrate Systems &amp; Automate Pipelines
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build integrations between internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer
  </li>
  <li>
   Create data pipelines that automate reporting, reconciliation, and exception handling for the Accounting and Operations teams
  </li>
  <li>
   Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ship with AI-Native Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity
  </li>
  <li>
   Vibe code: move fast, prototype rapidly, validate with real users, and iterate
  </li>
  <li>
   Maintain clean, well-documented codebases so that automations and tools can be extended over time
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Support Sales &amp; Marketing Systems
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build lead enrichment, CRM hygiene, and outbound personalization workflows
  </li>
  <li>
   Create content generation and repurposing pipelines for the marketing team
  </li>
  <li>
   Develop internal tools that give the Sales team faster access to prospect and market data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Are Looking For
  <br/>
  <br/>
 </strong>
 <strong>
  Must-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript
  </li>
  <li>
   Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)
  </li>
  <li>
   Deep experience with AI/LLM APIs (Anthropic, OpenAI) including prompt engineering, function calling, and structured outputs
  </li>
  <li>
   Experience building multi-step AI workflows or agent-based systems
  </li>
  <li>
   Knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines, with the ability to implement them when needed
  </li>
  <li>
   Comfort with databases (SQL, PostgreSQL) and API integrations (REST, webhooks)
  </li>
  <li>
   Experience deploying and maintaining applications in production (Docker, cloud platforms like AWS, GCP, or Vercel)
  </li>
  <li>
   Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)
  </li>
  <li>
   Strong bias toward shipping. You prefer a working prototype today over a perfect plan next week
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with automation platforms (n8n, Make, Retool) for rapid prototyping
  </li>
  <li>
   Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations
  </li>
  <li>
   Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI)
  </li>
  <li>
   Understanding of global payroll compliance, tax regulations, or labor laws
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How We Will Measure Success
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   30 days: Ship 2-3 working internal tools based on priorities set by the Product Manager; establish your local development and deployment workflow
  </li>
  <li>
   60 days: Have 5+ tools or automations actively used by internal teams; demonstrate measurable reduction in manual hours for at least 2 departments
  </li>
  <li>
   90 days: Own a portfolio of internal AI systems and tools that are reliable, documented, and integrated into daily operations across the company
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Niural
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will build systems that directly impact how a global fintech platform operates and scales
  </li>
  <li>
   You get to work across the full stack of modern AI tooling, from LLM APIs to agent frameworks to full-stack apps
  </li>
  <li>
   You will ship constantly and see your work used by real people every day
  </li>
  <li>
   You are joining a team that values speed, ownership, and ambition over process and perfection
   <br/>
   <br/>
  </li>
 </ul>
</div>


AI Product Operator - Intern

ReadMe

<div>
 <strong>
  📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US)
  <br/>
  <br/>
 </strong>
 We&rsquo;re hiring an AI Engineer to shape how AI shows up across ReadMe&rsquo;s product: from how developers explore and understand APIs to how companies author and maintain their documentation.
 <br/>
 <br/>
 We&rsquo;re at the forefront of a major shift in developer experience:
 <br/>
 <br/>
 <ul>
  <li>
   AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable
  </li>
  <li>
   At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI
   <br/>
   <br/>
  </li>
 </ul>
 We're a small team of humans (and one owl) working together to do big things &mdash; and that&rsquo;s where you come in. In this role you&rsquo;ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture.
 <br/>
 <br/>
 🦉 What we do
 <br/>
 <br/>
 ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you&rsquo;ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you&rsquo;ve used ReadMe!
 <br/>
 <br/>
 We love what we do because it&rsquo;s so much more than just documentation. We&rsquo;re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We&rsquo;ve got great support from our investors at Accel who led our Series A, and our interview process reflects the open, caring, and whimsical culture we want to maintain as we scale.
 <br/>
 <br/>
 ✅ What you&rsquo;ll do here
 <br/>
 <br/>
 This isn&rsquo;t a feature team where a PM hands you tickets. You&rsquo;ll help decide what gets built, why it matters, and how it works end-to-end. You&rsquo;ll work on systems that are already live across thousands of developer hubs and define what they become next.
 <br/>
 <br/>
 ReadMe's AI surface spans three bets we're doubling down on:
 <br/>
 <br/>
 <ul>
  <li>
   Documentation that writes itself. AI that watches code change and keeps docs current &mdash; from PR-level suggestions to org-wide audits that surface and fix quality issues at scale.
  </li>
  <li>
   Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through.
  </li>
  <li>
   APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines.
   <br/>
   <br/>
  </li>
 </ul>
 Day to day, you&rsquo;ll:
 <br/>
 <br/>
 <ul>
  <li>
   Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features.
  </li>
  <li>
   Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation.
  </li>
  <li>
   Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality.
  </li>
  <li>
   Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries.
  </li>
  <li>
   Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches.
  </li>
  <li>
   Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail.
  </li>
  <li>
   Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them.
   <br/>
   <br/>
  </li>
 </ul>
 💙 You'll love this job if you...
 <br/>
 <br/>
 <ul>
  <li>
   Want to own meaningful systems end-to-end, not just features.
  </li>
  <li>
   Care deeply about developer experience and documentation quality.
  </li>
  <li>
   Enjoy working on problems where AI, APIs, and product design intersect.
  </li>
  <li>
   Have strong instincts about what makes AI actually useful and where the industry is headed.
   <br/>
   <br/>
  </li>
 </ul>
 ️ ⭐️ This role is a great fit if you have...
 <br/>
 <br/>
 <ul>
  <li>
   Experience building with LLMs in production, not just prototypes.
  </li>
  <li>
   Strong JavaScript/TypeScript or Python experience.
  </li>
  <li>
   Experience working with:
  </li>
  <ul>
   <li>
    Embeddings and retrieval systems (RAG).
   </li>
   <li>
    Prompting and structured outputs.
   </li>
   <li>
    Evaluation and iteration of AI systems (quality, latency, cost).
   </li>
  </ul>
  <li>
   Comfort working with APIs and structured data (JSON, OpenAPI, schemas).
  </li>
  <li>
   Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces.
  </li>
  <li>
   Strong instincts around when to use AI vs. deterministic approaches.
  </li>
  <li>
   Experience improving AI reliability, observability, and production readiness.
  </li>
  <li>
   Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them.
   <br/>
   <br/>
  </li>
 </ul>
 🌱 How you'll grow within one month...
 <br/>
 <br/>
 <ul>
  <li>
   Build a deep understanding of ReadMe&rsquo;s AI systems and product surfaces.
  </li>
  <li>
   Ship meaningful improvements to existing AI features.
  </li>
  <li>
   Get close to real customer workflows and pain points.
   <br/>
   <br/>
  </li>
 </ul>
 🪴 Within a few months, you'll...
 <br/>
 <br/>
 <ul>
  <li>
   Own a core part of one of our AI systems.
  </li>
  <li>
   Drive improvements in quality, reliability, and user experience.
  </li>
  <li>
   Contribute to product and technical direction.
   <br/>
   <br/>
  </li>
 </ul>
 🌳 Within your first year, you'll...
 <br/>
 <br/>
 <ul>
  <li>
   Be a key driver of AI across the product.
  </li>
  <li>
   Ship systems used daily by thousands of developers and teams.
  </li>
  <li>
   Help define how AI reshapes developer hubs and API workflows.
   <br/>
   <br/>
  </li>
 </ul>
 🛣️ What's the hiring process like?
 <br/>
 <br/>
 <ul>
  <li>
   We can&rsquo;t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better!
  </li>
  <li>
   If we think we might be a good fit for you, we&rsquo;ll set up a 30 minute phone chat with our VP Engineering Moses! He&rsquo;ll tell you more about the role, and get a chance to hear about your experiences.
  </li>
  <li>
   Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we&rsquo;ll dive a bit more into your background.
  </li>
  <li>
   We&rsquo;ll then do a technical assessment with a couple of ReadMe engineers.
  </li>
  <li>
   Finally we&rsquo;ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you&rsquo;ll be interviewing with, and then have you talk with people one-on-one later on.
  </li>
  <li>
   We&rsquo;ll let you know how things went within a week! If it still seems like a good fit all around, we&rsquo;ll extend you an offer! If not, we will update you to let you know so you aren&rsquo;t left hanging.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  ✨ Our Benefits Include&hellip;
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Unlimited PTO with a three-week minimum. 🏝️
  </li>
  <li>
   Fully covered medical, dental, and vision insurance for you, and 100% for your dependents.
  </li>
  <li>
   A One Medical membership. 👨&zwj;⚕️
  </li>
  <li>
   A gym or fitness stipend of up to $150 per month. 🏋️&zwj;&female;️
  </li>
  <li>
   One-to-one donation matching of up to $1,000 per year. 💸
  </li>
  <li>
   Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣
  </li>
  <li>
   Work from home. 🏠
  </li>
  <li>
   Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️
  </li>
  <li>
   Take a look at our handbook for more information on our benefits! 📘
   <br/>
   <br/>
  </li>
 </ul>
 Not sure if you&rsquo;d be the right fit? Apply anyway! We&rsquo;d love to see your application.
 <br/>
 <br/>
 <strong>
  At ReadMe, we&rsquo;re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.
  <br/>
  <br/>
 </strong>
</div>


AI Engineer

<div><p>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.
</p><p>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.
</p><p>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.
</p><p>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.
</p><p>At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.
</p><p>Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences&mdash;while meeting the high standards for security, explainability, reliability, and compliance required in financial services.
</p><p>We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow.
</p><p><b>The Role
</b></p><p>As a Senior AI Engineer II &ndash; Agentic AI, you will be a core builder responsible for turning complex, ambiguous problems into production-grade agentic systems that operate on real financial data, serve real customers, and meet real regulatory requirements.
</p><p>You will work end to end: shaping solutions with product and design, building and shipping production code, and owning what you deliver after launch. The scope of this role spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that enable other engineers to build with AI safely and efficiently.
</p><p>This is not a research-only role. We are looking for engineers who are comfortable operating with autonomy, exercising sound judgment, and pushing the technical envelope within the realities of a regulated financial environment.
</p><p><b>What You&rsquo;ll Do
</b></p><ul><li>Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances.
</li><li>Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
</li><li>Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.
</li><li>Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology.
</li><li>Own the systems you build in production, including reliability, latency, cost, and failure modes.
</li><li>Work closely with product and design partners; engineers in this role are expected to think in terms of customer outcomes, not just technical execution.
</li></ul><p><b>Technical Environment
</b></p><p>We don&rsquo;t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale environment with a strong emphasis on agentic AI.
</p><p><b>Core engineering stack
</b></p><ul><li>Languages: Python, Go, TypeScript
</li><li>Cloud and infrastructure: AWS and/or GCP, Kubernetes
</li><li>APIs and services: REST, gRPC
</li><li>Distributed systems: event-driven architectures, including Kafka
</li></ul><p><b>Agentic AI and ML
</b></p><ul><li>Commercial and open-source LLMs integrated into agentic workflows
</li><li>Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
</li><li>Strong schema, validation, and state management practices
</li></ul><p><b>AI-assisted development
</b></p><ul><li>Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring
</li><li>Thoughtful use of these tools while maintaining production-quality engineering standards
</li><li>All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
</li></ul><p><b>What We&rsquo;re Looking For
</b></p><ul><li>8+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
</li><li>A track record of shipping AI-powered or agentic systems that real users depend on.
</li><li>Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
</li><li>Hands-on experience with modern LLM tooling and agentic patterns and architectures.
</li><li>Fluency with AI-assisted and agentic development workflows.
</li><li>Strong sense of ownership and sound technical judgment.
</li><li>Comfort operating with ambiguity and turning it into shipped reliable product.
</li><li>A strong product mindset and customer orientation.
</li></ul><p><b>Preferred Qualifications
</b></p><ul><li>Experience building agentic systems in fintech or other regulated industries.
</li><li>Experience as a founding engineer or early technical contributor in high-growth environments.
</li><li>Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
</li><li>Meaningful open-source contributions, particularly in AI or developer tooling.</li></ul></div>
<br><div><p>Salary Range: $123,000.00 to $215,250.00 annually + bonus + benefits
</p><p>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.
</p><p>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:
</p><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><p>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
</p><p>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.
</p><p>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.
</p><p>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
</p><p>Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.</p></div>
<br><div><p>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.
</p><p>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.</p></div>
<br><div><p>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:
</p><p></p><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><p>For a full list of Team Amex benefits, visit out Colleague Benefits Site .
</p><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.<br>
</div><div></div><br>
<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.<br>
</div><div></div><br>
<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>

Senior AI Engineer II - Agentic AI

Tetrix

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
Tetrix is a fast-growing startup on a mission to empower institutional investors to confidently invest in alternative markets (think Bloomberg, but for private markets). Our AI-native product transforms messy, unstructured private market data into real-time insights, combining automated document retrieval, AI-powered data extraction, and on-demand portfolio analytics - all in one seamless platform. We are growing quickly to becoming a category-defining product, and are working with some of the world's leading capital allocators. This is a unique opportunity to join a talented and driven team that wants to build next-generation infrastructure in financial markets, and is backed by stellar investors that include Innovation Endeavors, Eric Schmidt&rsquo;s VC firm, and angels from BlackRock, CPPIB, SoftBank, Lending Club, and Plaid.
</p><p></p><h2 class="jobSectionHeader"><b>️ Who we are</b></h2><p>
We are a small but mighty startup with deep industry background and expertise in both financial markets and modern technologies. We&rsquo;ve worked hard to build a culture of trust, high ownership, and curiosity&mdash;where everyone feels empowered to contribute, challenge ideas, and grow together. We are led by our two co-founders, Olivier (CEO) &amp; Naunidh (CTO), who met on the first day of school whilst pursuing their MBAs at Stanford and co-founded Tetrix in the Summer of 23.</p><p></p><p><b>
Who you are</b></p><ul><li><p>
You&rsquo;re proactive and hands-on &ndash; someone who takes initiative, figures things out, and keeps things moving.</p></li><li><p>
You learn and adapt quickly &ndash; someone who approaches problems with creativity and energy, and is resourceful, adaptable and excited by tough challenges.</p></li><li><p>
You&rsquo;re customer-oriented &ndash; you love working side-by-side with customers. You will be the first line of defense for any customer issues that arise, whether they are bugs or more meaty customer requests. You will also be working on improving customer workflows and owning the overall customer experience from an engineering perspective.</p></li><li><p>
You&rsquo;re collaborative &ndash; someone who values transparency, good communication, and knows that the best outcomes come from working well with others.</p></li><li><p>
You&rsquo;re experienced and thoughtful &ndash; we are looking for folks with 4+ years of work experience as a forward deployed / customer engineer, ideally in fast-paced or entrepreneurial environments.</p></li></ul><p></p><p><b>
What you&rsquo;ll do</b></p><ul><li><p>
You&rsquo;ll build and deploy &ndash; You&rsquo;ll embed directly with our customers to understand their toughest challenges with private market data, then rapidly architect, customize, and ship solutions.</p></li><li><p>
You&rsquo;ll brainstorm &ndash; We&rsquo;re not looking for someone to just take tickets&mdash;we want you in the room with both our internal team and customers, shaping product direction, internal tooling and new capabilities based on real-world usage and feedback.</p></li><li><p>
You&rsquo;ll work closely with clients &ndash; You&rsquo;ll act as their trusted technical partner: gathering deep requirements, designing and implementing custom workflows, troubleshooting in production, soliciting feedback, and ensuring they extract maximum value from the platform (this is hands-on engineering combined with strong relationship building).</p></li><li><p>
You&rsquo;ll champion best practices and guide others &ndash; You&rsquo;ll help our customers (and our growing team) adopt secure, robust, scalable, and auditable AI systems while feeding critical field insights back into our core product, raising the bar for reliability and precision in institutional-grade private market intelligence.</p></li></ul><p></p><p><b>
Why join us</b></p><ul><li><p>
You&rsquo;ll have real impact - We are at an inflection point - your work will directly shape our product, team, and company trajectory.</p></li><li><p>
You&rsquo;ll be supported - We&rsquo;re committed to helping you do your best work and grow both professionally and personally.</p></li><li><p>
You&rsquo;ll be rewarded - Competitive salary, meaningful equity, and benefits including unlimited vacation, healthcare, and retirement plans.</p></li><li><p>
You&rsquo;ll grow fast - We move quickly, think deeply, and believe in learning through doing. You&rsquo;ll be surrounded by smart, driven, kind people.</p></li><li><p>
You&rsquo;ll have fun - Shipping is inherently fun, winning is even more fun, and when all else fails, we have plenty of fun in and out of the office.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
One more thing</b></h2><p>
If this role sounds exciting but you&rsquo;re second-guessing whether you&rsquo;re &ldquo;qualified&rdquo; enough&mdash;please apply. Great talent doesn&rsquo;t always fit neatly into a checklist, and we know that underrepresented folks often underestimate their fit. We care more about the ideas you bring, your ability to learn, and your enthusiasm for the work than about whether your resume matches every bullet point. The company we&rsquo;re building will shape how financial systems work for years to come. That&rsquo;s why we&rsquo;re committed to building a team with diverse voices, perspectives, and lived experiences. Diversity isn&rsquo;t a nice-to-have&mdash;it&rsquo;s a must-have. And we&rsquo;d love to have you be part of that.</p><p>
Compensation Range: $140K - $200K</p></div>

Forward Deployed Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Role - Data &amp; AI Engineer
</div><div>Experience Required - 10+ Years</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div> <ul><li> 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure
</li></ul><ul><li> AI engineers with recent NodeJS/Javascript/Typescript experience
</li></ul><ul><li> Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
</li></ul><ul><li> Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
</li></ul><ul><li> Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
</li></ul><ul><li> Fluency with AI-assisted and agentic development workflows.
</li></ul><ul><li> Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
</li></ul><ul><li> Ability to influence technical direction and align teams without formal authority.
</li></ul><ul><li> Experience in workflow engines, async processing, queues, and streaming systems.
</li></ul><ul><li> Languages: NodeJS/Javascript/Typescript,Python, Go,
</li></ul><ul><li> APIs and services: REST, gRPC
</li></ul><ul><li> Cloud and infrastructure: AWS and/or GCP, Kubernetes
</li></ul><ul><li> Distributed systems: event-driven architectures, including Kafka
</li></ul><ul><li> Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc
</li></ul><ul><li> Integration of commercial and open-source LLMs into agentic workflows
</li></ul><ul><li> Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives
</li></ul><ul><li> Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow
</li></ul><ul><li> Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)</li></ul><div><br>
</div>
<div></div><br>
<div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><ul><li> Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
</li></ul><ul><li> Design, build, and operate production-grade agentic AI systems used across multiple products.
</li></ul><ul><li> Own and evolve shared agentic AI capabilities, including:
</li></ul><ul><li> Agent frameworks and orchestration layers
</li></ul><ul><li> Planning, tool use, and memory strategies
</li></ul><ul><li> Retrieval and grounding (RAG) pipelines
</li></ul><ul><li> LLM infrastructure, inference, and model gateways
</li></ul><ul><li> Evaluation, observability, and safety tooling for au tonomous systems
</li></ul><ul><li> Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
</li></ul><ul><li> Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.
</li></ul><ul><li> Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.
</li></ul><ul><li> Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.</li></ul><br>
<div><br>
</div><div>Base Salary Range : $90,000 to $120,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>407237</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Big Data | Node JS</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Data & AI Engineer

James Search Group

<div>
 <p>
  <strong>
   AI/ML Engineer
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York, NY
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Global P&amp;C Insurance
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role and the company.
  </strong>
 </p>
 <p>
  James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
  <strong>
   AI/ML Engineer
  </strong>
  to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
  </li>
  <li>
   Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
  </li>
  <li>
   Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
  </li>
  <li>
   Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
  </li>
  <li>
   Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
  </li>
  <li>
   Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
  </li>
  <li>
   Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
  </li>
  <li>
   Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
  </li>
  <li>
   Familiarity with actuarial concepts or insurance-specific data models.
  </li>
  <li>
   Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
  </li>
  <li>
   Comfortable in a collaborative, fast-paced, and agile working environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply today
  </strong>
  to help reshape the future of insurance through data and AI innovation.
 </p>
</div>


Machine Learning Engineer

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