Job description

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. ABOUT THE 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. KEY RESPONSIBILITIES - Translate complex scientific and operational requirements into a clear delivery roadmap, from initial discovery through scaled 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 product gaps and work with our internal Applied AI and engineering teams to shape future capabilities. - Partner with GTM and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation. REQUIRED QUALIFICATIONS - 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, debug at the infrastructure level, and write clean production code independently (without reliance on AI-assisted coding tools). - Comfortable with 20-40% travel (at peak times), operating independently, making decisions with incomplete information, and driving outcomes without close oversight. - Proven problem-solving skills, navigating complex systems, debugging issues in real-time, and owning features end-to-end. - Strong communication and relationship-building skills – able to earn trust with scientists, executives, and engineering teams. - Deep curiosity and willingness to learn new scientific domains quickly and adapt to rapidly evolving priorities. - Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field; or equivalent demonstrated depth through professional experience. PREFERRED QUALIFICATIONS - Experience in life sciences, pharma, biotech, or scientific R&D – either as a researcher, consultant, or engineer working in these environments. - Familiarity with regulated data environments (GxP, HIPAA, 21 CFR Part 11, or equivalent compliance frameworks) - Background as a technical founder, forward-deployed engineer, or management consultant. - A science degree or research experience alongside your engineering skills. SALARY $200K – $300K • Offers Equity WHY JOIN US? We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it. We also offer full-time employees the following: - Competitive salary and equity - Full healthcare coverage; we pay 100% of premiums for you and your dependents - Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot - Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability - 12 weeks of paid parental leave for maternity, paternity, and adoption - Pet care support with a yearly employer-funded stipend for your animal companions - Commuter benefits so you can pay for transit and parking with pre-tax dollars - 401(k) company matching - $300 health and wellness benefit quarterly - Lunch is on us every day you're in the office, and dinner is on us when you're working late - Regular team off-sites and company events Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Requirements

Must-haves

Translate complex scientific and operational requirements into a clear delivery roadmap, from initial discovery through scaled 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 product gaps and work with our internal Applied AI and engineering teams to shape future capabilities.
Partner with GTM and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation.
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, debug at the infrastructure level, and write clean production code independently (without reliance on AI-assisted coding tools).
Comfortable with 20-40% travel (at peak times), operating independently, making decisions with incomplete information, and driving outcomes without close oversight.
Proven problem-solving skills, navigating complex systems, debugging issues in real-time, and owning features end-to-end.
Strong communication and relationship-building skills – able to earn trust with scientists, executives, and engineering teams.
Deep curiosity and willingness to learn new scientific domains quickly and adapt to rapidly evolving priorities.
Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field; or equivalent demonstrated depth through professional experience.

Nice-to-haves

Experience in life sciences, pharma, biotech, or scientific R&D – either as a researcher, consultant, or engineer working in these environments.
Familiarity with regulated data environments (GxP, HIPAA, 21 CFR Part 11, or equivalent compliance frameworks)
Background as a technical founder, forward-deployed engineer, or management consultant.
A science degree or research experience alongside your engineering skills.

Application prep

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Benefits

Benefits detected in the listing.

401(K)

Parental Leave

Wellness