Job Opportunities API

Bei Bristol Myers Squibb lassen wir uns von einer einzigen Vision inspirieren - die Veränderung des Lebens von Patienten durch Wissenschaft. In den Bereichen Onkologie, Hämatologie, Immunologie und Herz-Kreislauf-Erkrankungen - und eine der vielfältigsten und vielversprechendsten Pipelines der Branche - trägt jeder unserer leidenschaftlichen Kollegen zu Innovationen bei, die bedeutende Veränderungen vorantreiben. Wir verleihen jeder Therapie, für die wir Pionierarbeit leisten, eine menschliche Note. Kommen Sie zu Bristol Myers Squibb  und machen Sie einen Unterschied. Key Responsibilities • Design, build, and deploy autonomous multi-agent workflows using orchestration frameworks such as LangGraph, CrewAI, Autogen, or similar, including complex state machines with conditional routing, parallel execution, and error recovery patterns. • Architect graph-based agent workflows with 10+ nodes involving agent collaboration, task decomposition, and sequential/parallel execution across multiple business domains. • Develop and maintain reusable agent node libraries, extensible platform patterns, versioning strategies, and testing frameworks (unit, integration, and end-to-end) for agent workflows. • Build production-grade FastAPI applications with async I/O patterns, integrating PostgreSQL, Redis, and external enterprise services. • Implement real-time agent streaming using Server-Sent Events (SSE) and WebSocket protocols, alongside RESTful and event-driven API architectures for agent orchestration. • Integrate cloud-based LLM providers (AWS Bedrock, Azure OpenAI, Anthropic Claude, OpenAI GPT-4) and design prompt management systems with versioning, templating, and dynamic compilation. • Implement conversation state persistence using Redis checkpointing and build tool-calling protocols (Model Context Protocol, function calling) for external data sources and APIs. • Develop hybrid intelligence patterns combining LLM reasoning with rule-based logic and statistical analysis, and build response transformation pipelines for structured analytical outputs. • Integrate observability platforms (Langfuse, LangSmith, or similar) to enable end-to-end agent tracing, telemetry, performance monitoring, and cost optimization across production workflows. • Implement evaluation frameworks measuring agent success rates, reasoning quality, and output accuracy, while continuously optimizing token usage and LLM costs. • Ensure enterprise security integration (LDAP, SSO, access control), robust error handling, and compliance with data governance and Responsible AI standards. • Partner with data engineers, business analysts, and UX teams to translate requirements into scalable agent workflows and streaming interfaces. • Mentor junior engineers on async Python patterns, agent design, and LLMOps best practices; participate in architecture reviews and contribute to documentation and knowledge sharing. Qualifications & Experience: · Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or a related discipline. · 9+ years of software engineering experience, with 2+ years building and deploying production LLM-powered applications. · Proven experience with: • Agentic orchestration frameworks: LangGraph (preferred), LangChain, CrewAI, Autogen, or similar. • Cloud LLM providers: AWS Bedrock, Azure OpenAI, Anthropic Claude, or OpenAI GPT-4. • Production async web frameworks, particularly FastAPI. • Docker containerization, Git version control, and CI/CD pipelines. • Cloud platforms: AWS, Azure, or Google Cloud. · Expert-level async Python programming (asyncio, async/await patterns). · Demonstrated experience building autonomous agent systems performing multi-step tasks beyond simple chatbots, including conditional logic, state management, and tool-calling patterns. · Strong understanding of agentic design patterns including ReAct, Plan-and-Execute, and tool-use agents. · Experience implementing Model Context Protocol (MCP) and agent-to-agent (A2A) communication frameworks. · Familiarity with LLMOps practices, observability tooling (Langfuse, LangSmith), and prompt engineering at scale (templating, versioning, optimization). · Excellent analytical, problem-solving, and communication skills with the ability to work effectively in globally distributed teams. · Prior experience in global life sciences, especially in the GPS functional area, is a plus. · Experience managing or collaborating with offshore technical development teams and diverse international stakeholders is a plus. Wir setzen uns auf der ganzen Welt leidenschaftlich dafür ein, das Leben von Patienten mit schweren Krankheiten zu beeinflussen. Unsere gemeinsamen Werte Leidenschaft, Innovation, Dringlichkeit, Verantwortlichkeit, Inklusion und Integrität befähigen uns, unsere individuellen Talente und unterschiedlichen Perspektiven in einer integrativen Kultur einzusetzen und bringen das höchste Potenzial jedes unserer Kollegen hervor. Bristol Myers Squibb weiß um die Bedeutung von Balance und Flexibilität im Arbeitsumfeld. Wir bieten daher eine Vielzahl von attraktiven Benefits, Dienstleistungen und Programmen an, die unseren Mitarbeitern die Ressourcen bieten, ihre Ziele sowohl bei der Arbeit als auch in ihrem Privatleben zu verfolgen. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [email protected] . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1604473 : Principal AI Engineer