Artificial Intelligence Engineer
i-Pharm Consulting · ·
About the Role
Lead Agentic AI Engineer | Hybrid | Boston, Massachusetts Build AI That Actually Matters Most AI jobs are focused on generating content, optimizing ads, or improving internal productivity. This role is different. We're looking for a highly technical AI engineer to help build the next generation of Agentic AI capabilities within a rapidly growing biopharmaceutical organization. You'll work at the intersection of cutting-edge AI engineering and life sciences, creating systems that help accelerate research, improve operations, and ultimately support better outcomes for patients. This is a hands-on engineering role for someone who loves building. What You'll Do Design, build, and deploy production-grade Agentic AI systems Develop reusable multi-agent frameworks, orchestration patterns, and AI automation capabilities Build AI agents that interact with enterprise applications, APIs, databases, and internal tools Create scalable approaches for RAG, tool calling, memory, planning, and workflow automation Evaluate and implement emerging AI technologies, frameworks, and models Partner with engineers, data scientists, and business stakeholders to deliver AI solutions with measurable business impact Help define technical standards, best practices, and long-term AI architecture What We're Looking For We're looking for engineers who are builders first. You may currently be a: Principal AI Engineer Staff AI Engineer Lead AI Engineer Applied AI Engineer AI Platform Engineer Machine Learning Engineer Most importantly, you should still be spending the majority of your time designing, coding, and deploying solutions yourself. Preferred Experience Strong experience with several of the following: Agentic AI & LLM Systems LangGraph LangChain CrewAI MCP (Model Context Protocol) Multi-agent systems Agent orchestration RAG architectures Tool calling LLM evaluation frameworks Engineering Python APIs and distributed systems Cloud-native architectures Microservices CI/CD Production software engineering AI Platforms OpenAI Anthropic Bedrock Vector databases Model evaluation and observability AI workflow automation Who Thrives Here People who enjoy: Writing code every day Building production systems instead of demos Experimenting with new AI frameworks Solving complex engineering problems Working across the full lifecycle from concept to production Wearing multiple hats in a fast-moving environment Why Join? Apply cutting-edge AI to meaningful healthcare and life sciences challenges Build systems that create real-world impact Join a highly ambitious AI team with strong executive sponsorship Influence the long-term AI strategy, architecture, and platform direction Work on frontier AI problems while continuing to be deeply technical If you're an exceptional engineer who loves building AI systems and wants to apply your skills to something bigger than ads, clicks, and consumer apps, we'd love to hear from you. Show more Show less
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