Ai Engineer Jobs in New York, USA

<p><strong>Come Work With Us:</strong></p> <p>Metropolitan Commercial Bank (“MCB” or the “Bank”) is a New York City–based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.</p> <p>Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.</p> <p>The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek’s Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor’s Choice recognition at the Banking Tech Awards USA for Digital Onboarding & Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.</p> <p>We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human–AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank’s website at <a href="http://www.mcbankny.com/">MCBankNY.com</a>.</p> <p> </p> <p><strong>Position Summary:</strong></p> <p>Metropolitan Commercial Bank (the “Bank”) is seeking a VP-level AI/ML Engineer to deploy AI solutions at enterprise scale, with a strong emphasis on Large Language Model (LLM) applications and modern MLOps & AIOps practices. This role sits at the intersection of data science and software engineering, reporting to the manager of the IT Application Development and Support team and working closely with the Chief Artificial Intelligence Officer, transforming innovative AI prototypes into robust, scalable production systems. The AI/ML Engineer will lead the deployment of high-impact AI capabilities (e.g., generative AI systems, personalization engines, automation tools) and ensure scalable AI platforms that deliver real-world value. The role also includes designing, constructing, and maintaining the Bank’s AIOps solution, with Snowflake as the primary ML platform (e.g., Snowpark Python, UDFs/UDTFs, Tasks/Streams, and Snowflake-native ML).</p> <p><em>Standard 4-day in-office requirement, 1 day

<p><strong><u>Role/Responsibilities:</u></strong></p> <p>We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc.</p> <p>Responsibilities include:</p> <ul> <li>Exploring and combining rich internal and external textual datasets</li> <li>Building GenAI solutions, leveraging both internal models and external APIs</li> <li>Formulating research hypothesis to derive alpha</li> <li>Post-training models for specific tasks</li> <li>Benchmarking LLM approaches internal tasks</li> </ul> <p>We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact.</p> <p><strong><u>Requirements: </u></strong></p> <ul> <li>Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline</li> <li>Experience in NLP, particularly LLMs.</li> <li>Proficient in Python, SQL and general software engineering principles (github, testing, etc.)</li> <li>Data science stack familiarity</li> <li>Interest in financial markets</li> <li>Collaborative mindset</li> </ul> <p><strong><u>About Point72:</u></strong></p> <p>Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent.  We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.</p>

<p>Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team.</p> <p>Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.</p> <h3><strong>About the role</strong></h3> <p>Join Oscar’s AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you’ll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You’ll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You’ll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members.</p> <p>You will report to the Sr. Director, AI.</p> <p><strong>Work Location: </strong>This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid</p> <p><strong>Pay Transparency: </strong>The base pay for this role is: $163,944 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.</p> <h3><strong>Responsibilities</strong></h3> <ul> <li>Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems.</li> <li>Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics.</li> <li>Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback.</li> <li>Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences.</li> <li>Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation.</li> <li>Contribute to Oscar’s AI strategy and technical vision, helping shape the future of healthcare through technology.</li> <li>Other duties as assi

Join Tech @ Ro to build the future of healthcare, from the ground up! At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients. We’re building a new system. One where the patient is in control. One designed from scratch for the digital age. At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients. …and we’re just getting started.  As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to: Solve complex, high-concurrency problems across a full-stack platform Build and ship quickly with tight feedback loops and real-world impact Own systems end-to-end, from architecture to production performance Work alongside experienced operators, technical leaders, and clinicians Help define how modern healthcare should be delivered We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it. If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us. The Role Ro is building a team focused on shipping LLM-powered products across the patient experience, clinical operations, and internal tooling. We're hiring a Senior AI Engineer to join a new team we’re building from the ground up alongside a Senior AI Lead and an Engineering Manager. You'll own AI features from prototype through production and spend as much time improving workflows with clinical operators as writing code. Most of your work will involve building orchestration layers, prompts, evaluations, retrieval systems, and tooling that make LLMs reliable enough for real-world healthcare operations.

AI Engineer at Patlytics. Apply via Ashby.

AI Engineer at Cinder. Apply via Ashby.

Sr. Applied AI Engineer at Taktile. Apply via Ashby.

Forward Deployed Engineer - AI Engineer at Reflectionai. Apply via Ashby.

Forward Deployed Engineer, Lead - AI Engineer at Reflectionai. Apply via Ashby.

Applied AI Engineer, Fullstack at Ramp. Apply via Ashby.

<div class="content-intro"><p>DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, <a href="https://www.DeepIntent.com">www.DeepIntent.com</a>. </p></div><p><strong><u>What You’ll Do: </u></strong></p> <p>We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.</p> <p>This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.</p> <p><strong>Build & Deploy AI Agents and Automations</strong></p> <ul> <li>Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations. </li> <li>Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.</li> <li>Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.</li> <li>Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.</li> </ul> <p><strong>Partner with Business Teams</strong></p> <ul> <li>Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.</li> <li>Translate ambiguous business needs into clear technical requirements and executable solutions.</li> <li>Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.</li> </ul> <p><strong>Maintain & Document</strong></p> <ul> <li>Create and maintain clear technical documentation for all tools, workflows, and integrations you build.</li> <li>Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.</li> </ul> <p><strong><u>Who You Are</u></strong></p> <ul> <li>Bachelors or Masters degree in Computer Science, Mathematics or Engineering</li> <li>Hands-on experience