AI Engineering Jobs in New York

Decagon

Decagon is a leading conversational AI platform that empowers brands to deliver exceptional customer experiences through AI agents. Our technology enables enterprises to deploy personalized and satisfying interactions across various channels. We are building a future where customer experiences are redefined, moving beyond traditional support to foster faster resolutions, richer conversations, and deeper relationships. The Product Engineering team at Decagon is responsible for building the platform that allows customers to create, operate, and enhance their AI agents, transforming complex engineering tasks into user-friendly product features. This team is crucial for scaling Decagon's impact, with the frameworks they build supporting every agent in production, ensuring reliability and robustness across diverse workflows and constraints. They also build agents directly, using production failures as opportunities to create guardrails, evaluations, and tooling that improve the platform universally.

$200k - $400k

This role offers a unique opportunity to be at the forefront of artificial intelligence and Finance transformation, not just by supporting strategy but by actively building it. You will architect the next generation of AI-driven analytics and decision-support products for a leading asset and wealth management business. The position is ideal for someone who excels at shipping cutting-edge products and solving complex data challenges. You will join a team where your contributions directly influence how Finance leaders make critical decisions, with tangible and visible impact. As a Vice President — Applied Artificial Intelligence and Data Product Scientist, you will be an individual contributor focusing approximately 60% on hands-on building and 40% on strategy, roadmaps, and best practices. Your responsibilities will include researching, prototyping, and productionizing next-generation AI capabilities, as well as diagnosing and resolving structural data issues that affect both AI and traditional reporting products. You will collaborate with Finance stakeholders, data engineering, and platform teams, with your primary value derived from building code, training models, designing data architectures, and delivering functional products.

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Decagon

Decagon is seeking a Senior Software Engineer to join the Product Engineering team. This team is responsible for building the core platform that enables customers to create, operate, and improve their AI agents. You will design and build systems that allow customers to configure, train, test, and monitor sophisticated AI agents with confidence, translating complex technical capabilities into simple, usable interfaces. You will own features end-to-end, from technical architecture through deployment and iteration, working closely with product and design to understand customer use cases and ensure the right solutions are built. This role involves building self-serve functionality, designing configuration abstractions, creating AI-powered tooling for agent workflows, and developing monitoring and analytics for agent performance.

$200k - $400k

As a Lead Software Engineer within the Commercial & Investment Bank Digital Channel's team, you will be instrumental in building autonomous agent capabilities. These agents will be responsible for planning, executing, validating, and submitting code changes in bulk. The role emphasizes the development of evaluation harnesses, PR-provenance controls, CI/CD integrations, and operational readiness to safely scale machine-authored changes across various scenarios like runtime upgrades, framework migrations, security remediation, and standards adoption.

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JPMorgan Chase is seeking a Software Engineer III within Corporate Technology to design and deliver agentic AI platforms and large language model-enabled services for Finance use cases. This role involves contributing to technical design, building cloud-native services on AWS, and enhancing system quality through evaluation and observability. You will also play a key part in raising engineering standards through robust code reviews, documentation, and cross-team collaboration.

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Confido

Confido is seeking a Senior ML Ops Engineer to be the first dedicated owner of its ML platform. This role will be responsible for the pipelines, serving, and cloud foundation that enable AI/ML models and agents to operate reliably and cost-efficiently in production. The engineer will ensure the platform can handle large-scale workloads, including document understanding, forecasting, and agentic systems, with a focus on making AI/ML development and deployment seamless for the AI/ML team.

$210k - $300k

Cursor

SpaceXAI is building Super Intelligence to help humanity understand the universe, from supercomputers to large language models and user-facing applications. As a Software Engineer on the Model Lifecycle and Signals team, you will be responsible for integrating frontier models into user-facing products at a massive scale. This role involves deciding which models to use, monitoring their performance, and providing feedback to shape future model development. You will work at the intersection of infrastructure, data, and product, bringing models from preview to production, analyzing real-world data, and collaborating with research, inference, product, and data science teams to improve both products and models. Your contributions will have a compounding impact across all products and shipped models.

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As an Applied AI and Machine Learning Lead, you will spearhead high-impact generative AI and advanced analytics initiatives, guiding them from research to production. Your role involves leading the design, evaluation, and deployment of foundation-model and agentic AI capabilities aimed at enhancing decision-making, automating tasks, and elevating engineering standards for reliability and governance. You will collaborate closely with product, engineering, and risk stakeholders to establish clear, measurable outcomes and deliver solutions that are scalable, robust, and responsibly implemented.

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JPMorganChase is hiring top talent to join the growing Commercial & Investment Bank Technology organization within Digital & Platform Services / Data Analytics. You will serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. This role focuses on building production AI agents on NEO that leverage the firm’s scale, data, and full-service advantage to deliver measurable impact across the Commercial & Investment Bank and Payments. As a Senior AI Application Engineer, you’ll design, productionize, and operate LLM-powered agents on NEO (the firm’s agent runtime PaaS on AWS/Azure), partnering closely with business, product, and engineering teams in a fast-paced environment.

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As a Lead Software Engineer - Agentic AI, you will be an integral part of an agile team focused on delivering trusted technology products in a secure, stable, and scalable way. You will collaborate with senior stakeholders to design and drive the growth of Data and Analytics solutions, enabling data-driven sales growth strategies. This role involves hands-on engineering to drive intelligence automation and build agentic AI on the firm's agent runtime platform. You will be responsible for delivering critical technology solutions across multiple technical areas to support business objectives.

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JPMorganChase AI Research is seeking a Research Scientist for their AI Research Associate Program. This global team focuses on developing novel AI capabilities and translating breakthrough AI/ML techniques into deployed solutions within financial services. The role involves working on commercially oriented research projects, formulating problems, developing new algorithms and models, conducting rigorous evaluations, and delivering high-quality code. You will collaborate closely with internal data scientists, applied engineering teams, and stakeholders across various business units. The position also requires contributing to high-impact business applications, reusable assets, and research initiatives, as well as providing thought leadership through publications and presentations.

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We are seeking an AI Lead Software Engineer to join our Corporate Technology team at JPMorganChase. In this role, you will be a key technical leader responsible for designing and delivering secure, scalable, and high-performing technology solutions. You will collaborate with product, business, and engineering stakeholders to build strategic AI platforms that support the firm's objectives. This position offers an exciting opportunity to advance your career and drive meaningful impact by pushing the limits of modern engineering.

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PermitFlow

PermitFlow is redefining the construction industry with applied AI, tackling complex challenges in permitting, licensing, inspections, and project closeouts. Our AI agent workforce accelerates development for the nation's builders, having already delivered significant improvements in speed, accuracy, and visibility for over $20 billion in development. As the U.S. enters a new capex supercycle, joining PermitFlow means building the core AI infrastructure that will drive future reindustrialization. We are seeking a Staff/Principal Engineer to develop our core AI Assistant, its supporting infrastructure, and workflow agents, requiring both UX and technical expertise in a complex domain.

$250k - $300k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower users to control their intelligence and shape the future of AI. In this role, you will develop the critical evaluation infrastructure that researchers rely on to understand model capabilities, inform training decisions, and assess readiness for release. Your work will encompass evaluation authoring, distributed execution, and results analysis, with a specific emphasis on pre-training. You will collaborate closely with researchers to enhance the speed, reliability, and ease of use of evaluations, ensuring that the outcomes accurately reflect the models being assessed.

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Scope Labs is seeking a Forward Deployed Engineer to join their team in New York City. In this role, you will be embedded directly with startup customers, owning the entire technical relationship from the outset. You will be responsible for deploying cutting-edge AI tooling into real startup workflows, ensuring their success and driving value. This is an opportunity to be at the forefront of bringing new technology to fast-moving teams, operating with autonomy and accountability for outcomes.

$150k - $200k

Datadog

Datadog AI Research (DAIR) is seeking a Research Manager to lead a team focused on fundamental research in post-training and autonomous agents. This role involves advancing reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating in complex real-world systems. The manager will provide technical leadership, mentor researchers and engineers, shape research direction, and collaborate with product and engineering teams to translate research into products. This position is ideal for an experienced researcher or technical leader who wants to maintain hands-on research involvement while leading a high-performing team.

$244k - $305k

Asana

Asana is seeking a Staff Software Engineer to enhance our AI developer experience, enabling engineers to boost their productivity with AI. You will be instrumental in shaping the technical direction and developing advanced AI-powered tools for editors, IDEs, CLIs, code review, and coding agents. This role is based in our New York City office and follows an office-centric hybrid schedule, with specific in-office days outlined during the interview process.

$248k - $282k

Build what's next in enterprise AI—solutions that materially improve how teams make decisions, automate work, and serve internal customers. You will take generative AI from concept to production, help set the standard for semantic consistency across systems, and partner closely with stakeholders to turn complex business needs into measurable outcomes. You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions. As an Applied AI and Machine Learning Lead at JPMorganChase within Corporate Technology Data Science and AI, you will design, build, and deploy scalable analytical and generative AI solutions that deliver measurable business value. You will translate complex business needs into clear problem statements, success metrics, and production-ready models and intelligent workflows. You will help establish semantic modeling standards and a unified semantic layer that improves trust and consistency across analytics and AI use cases.

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LangChain is seeking a Deployed Engineer to join their team in NYC. This role focuses on building and running AI agents in production, moving beyond prototypes to create reliable systems that real teams depend on. You will work directly with customer engineering teams, co-architecting and co-building AI agents, and owning the technical win in pre-sales by designing POCs and guiding evaluations. The position involves helping customers deploy and operate agent-based applications, advising on architecture and best practices, and running technical demos and trainings. This is a hands-on, highly technical role at the intersection of engineering, product, and go-to-market, with a fast feedback loop and visible impact on how AI agents are built in the real world.

$185k - $315k

As a Senior Lead Software Engineer at JPMorgan Chase, you will be a key member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. Your role involves designing and delivering market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You will implement critical technology solutions across multiple technical areas to support business objectives and drive innovation in ML platform capabilities.

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As a Lead Software Engineer within Enterprise Technology, you will spearhead the architecture and hands-on implementation of scalable large language model (LLM) systems and agentic AI platforms tailored for enterprise use cases. You will design cloud-native solutions, establish robust evaluation and observability standards, and guide technical decisions across teams to enhance reliability, manage costs, and improve developer velocity. This role involves building and scaling production AI platforms that translate LLM capabilities into dependable, secure, and measurable business outcomes, partnering with product and engineering teams to design architectures, deliver reusable components, and elevate quality through strong engineering practices and technical leadership.

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As a Senior Lead Software Engineer within the Commercial & Investment Bank Digital Channel's team, you will be instrumental in building autonomous agent capabilities. These agents will be responsible for planning, executing, validating, and submitting code changes in bulk. The role emphasizes the development of evaluation harnesses, PR-provenance controls, CI/CD integrations, and operational readiness to ensure the safe scaling of machine-authored changes across various initiatives like runtime upgrades, framework migrations, security remediation, and standards adoption.

Salary not listed

JPMorganChase is seeking top talent to join their Corporate & Investment Bank Technology organization, focusing on building production AI agents on the NEO platform. This role involves designing, productionizing, and operating large language model (LLM)-powered agents in a fast-paced environment, partnering closely with business, product, and engineering teams. You will contribute to a federated portfolio of production agents that deliver measurable impact across the Commercial & Investment Bank and Payments, leveraging the firm's scale, data, and full-service advantage.

Salary not listed

LangChain is building the foundation for agent engineering, enabling developers to create production-ready AI agents. With significant funding and a rapidly growing platform, the company offers open-source tools and a comprehensive platform for building, evaluating, deploying, and operating agents at scale. The LangSmith team specifically focuses on building the core platform for observability, evaluation, and production reliability of AI systems, including tracing, annotation, and run rules. This role is crucial for defining what AI observability looks like at production scale.

$180k - $240k