Forward Deployed AI Engineer

About us Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI. Role As a Forward Deployed AI Engineer, you'll be embedded directly with leading scientific R&D organizations across pharma and biotech – taking full ownership of how Edison's AI agents create value in their environment. You will deeply understand their science, their workflows, and their pain points, then determine where our platform can have the most impact. This isn't remote support or implementation consulting. You'll be on-site and on the front lines, owning integrations, reliability, relationship cadence, and the product feedback loop end to end. You will build relationships with scientists and research leaders, identify the highest-leverage problems, and ship solutions quickly. You'll operate with a high degree of independence and serve as the bridge between what our platform can do and what the customer needs it to do, feeding insights back to our product and engineering teams to shape the roadmap. While we don’t require you to have a scientific background, we expect our engineers to be deeply curious about science and to be excited to build and drive value for our partners. Responsibilities Translate complex scient [... source excerpt omitted ...] d production deployment. Be embedded with R&D teams, understand their research workflows deeply, and drive & own the value creation that Edison delivers to our partners. Map the customer's scientific and operational landscape to identify where AI agents can have the most impact – not just where they ask for help, but where the real leverage is. Design, implement, and iterate on production-ready integrations in fast cycles, often owning features end-to-end from architecture to rollout. Troubleshoot and debug issues in real time, ensure reliability and adoption, and be the go-to technical contact for AI within the client organization. Capture pain points, unmet needs, and prod [... source excerpt omitted ...] engineering teams to shape future capabilities. Partner with GTM and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation. Requirements 2+ years of professional software engineering experience, with a track record of shipping production-grade software in fast-paced or ambiguous environments. Strong proficiency in Python and/or TypeScript/JavaScript with deep fundamentals Hands-on experience building and deploying LLM-powered or agentic AI systems in production environments, including prompt engineering, RAG pipelines, model evaluation, and orchestration frameworks. AI fluency: able to reason through systems architecture, deb