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Design and build Astronomer's AI-powered context layer for data, working across the stack on semantic search, code generation, and retrieval systems using Python or Go, LLMs, and vector databases in a hybrid NYC office.
The Senior Data Engineer will design, build, and maintain end-to-end data pipelines and operational software applications to support Apple's Pacific supply chain operations. The role involves utilizing a diverse tech stack including Python, SQL, orchestration tools, vector/graph databases, and AI/LLM frameworks to operationalize data for business decision-making.
Builds and deploys enterprise-grade generative AI applications end-to-end, combining LLMs, RAG pipelines, and full-stack tech (Python backend + React/Next.js frontend) for scalable, production-ready solutions.
Position Summary Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
Senior AI Engineer builds and maintains AI agents that automate complex supply chain decisions by querying industrial knowledge graphs, using tools like Cognite Flows and React/Python stacks.
Adentris is seeking a founding engineer to lead the full-stack development and architecture of their AI-powered healthcare compliance platform. You will build and scale data pipelines, manage private LLM inference, and define the technical direction for clinical data normalization and AI evaluation.
State Street Investment Management (“State Street IM,” formerly known as State Street Global Advisors or SSGA) is seeking hands-on technology leader who will lead the Emerging Technology and Transformation team while…
This role involves driving applied research and product-oriented data science for an Agentic AI platform, focusing on LLM fine-tuning, evaluation, and knowledge graph development. The position requires deep technical expertise in machine learning and production-scale AI deployments to deliver robust agentic solutions.
Backend Engineer building and operating the AI inference and orchestration layer that connects LLMs to end users, focusing on latency, reliability, and production operations using Python, Node.js, Kubernetes, and Docker.
Senior Full Stack Engineer acting as Second-in-Command to the Tech Lead, building and maintaining regulatory application processing systems with backend APIs, cloud infrastructure, and React-based frontends.
Lead a team building scalable, high-performance admin interfaces and services for Adobe’s enterprise platforms using React, Node.js, and cloud infrastructure, while driving engineering standards and mentoring engineers.
Build and maintain backend services that power AI agents and retrieval systems for a B2B SaaS that serves restaurants across Latin America, using Ruby, Python, PostgreSQL, and vector databases.
Build and own full-stack agentic data platforms using LLMs (Claude Code, RAG, agents) and modern data engineering tools (Spark, Kafka, Airflow, Snowflake, AWS) within JPMorganChase's Asset & Wealth Management division.
Design and build agentic workflows and AI-assisted tools using LLMs and retrieval systems to automate business processes in a manufacturing context.
Lead cross-functional programs to build data pipelines, AI-powered tools, and dashboards that turn operational data into actionable insights for Oracle’s cloud infrastructure delivery teams.
Design and build enterprise-grade Agentic AI platforms and solutions for investment management operations, working with LLMs, RAG, multi-agent frameworks (LangGraph, LangChain, etc.), Python, and major cloud services.
Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
This role involves developing and deploying advanced AI and machine learning models to drive commercial analytics and business effectiveness within a healthcare context. The analyst will utilize Python, SQL, and Snowflake to process healthcare datasets and provide actionable insights for cross-functional teams.
Build and deploy AI/ML models using healthcare datasets to optimize commercial strategies, patient targeting, and forecasting for a biopharma company.
Staff-level, hands-on engineering leadership role at BP designing and delivering end-to-end data and AI solutions—including data pipelines, lakehouse architectures, and LLM/RAG-based applications—using Python, SQL, and distributed data platforms.
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