4210-Forward Deployed Engineer
AI summary of the role
This is a high-impact internal builder role at a healthcare AI platform company.
What you’ll do
- Partner with internal business and functional teams to identify opportunities for agentification, workflow automation, and AI-assisted decision-making.
- Build AI agents, copilots, workflow automations, and internal applications on top of Innovaccer’s platform capabilities, including Gravity, APIs, data systems, and enterprise tools.
- Rapidly prototype solutions using LLMs, agent frameworks, APIs, databases, and internal platforms, and iterate based on user feedback.
- Design agent architectures that can plan, reason, retrieve context, call tools, trigger workflows, and complete business tasks reliably.
What you’ll bring
- 3–7 years of strong software engineering experience, preferably in product engineering, platform engineering, internal tools, automation, or forward-deployed engineering roles.
- Strong undergraduate credentials in Computer Science, Engineering, Mathematics, or a related technical discipline.
- Hands-on experience building applications, APIs, automations, or data-backed tools using modern programming languages such as Python, JavaScript, TypeScript, Java, or similar.
- Experience or strong interest in building AI-powered products, LLM applications, copilots, agents, RAG systems, workflow automations, or internal productivity tools.
Technologies
Python · JavaScript · TypeScript · Java · LangChain · LlamaIndex · CrewAI · AutoGen · OpenAI APIs · Anthropic APIs · Gravity · RAG
About Innovaccer
Innovaccer sells a healthcare-native data and AI platform that unifies clinical, operational, and financial data so providers, payers, pharmacies, public-sector teams, and life-sciences organizations can run analytics, workflow automation, and AI copilots on top of a shared intelligence layer.
Series F · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Description About the Role As a Forward Deployed Engineer you will work closely with business, operations, product, and engineering teams to identify high-impact internal use cases and convert them into working AI-powered solutions. This is not a traditional backend or application engineering role. You will operate like a builder, consultant, product thinker, and systems engineer rolled into one. You will understand ambiguous business problems, break them down into solvable workflows, design AI-agent architectures, and ship production-grade internal tools that improve speed, quality, and leverage across teams. You will work with Innovaccer’s internal systems, data assets, workflow tools, and platform capabilities — including Gravity — to build agents and automations that can help teams reduce manual effort, improve decision-making, and scale repeatable work. The ideal candidate
More from the job description
Description About the Role As a Forward Deployed Engineer you will work closely with business, operations, product, and engineering teams to identify high-impact internal use cases and convert them into working AI-powered solutions. This is not a traditional backend or application engineering role. You will operate like a builder, consultant, product thinker, and systems engineer rolled into one. You will understand ambiguous business problems, break them down into solvable workflows, design AI-agent architectures, and ship production-grade internal tools that improve speed, quality, and leverage across teams. You will work with Innovaccer’s internal systems, data assets, workflow tools, and platform capabilities — including Gravity — to build agents and automations that can help teams reduce manual effort, improve decision-making, and scale repeatable work. The ideal candidate has strong engineering fundamentals, a builder’s mindset, and a deep curiosity for how AI agents can transform enterprise operations. Prior experience with Innovaccer’s Gravity platform is not required. What matters more is your ability to understand platforms, build on top of them, and rapidly translate business context into reliable technical solutions. This is a high-impact role for someone who wants to be at the frontier of enterprise AI adoption. A Day in the Life Partner with internal busi [... source excerpt omitted ...] st in building AI-powered products, LLM applications, copilots, agents, RAG systems, workflow automations, or internal productivity tools. Ability to work with ambiguous business requirements and convert them into clear technical designs and working products. Strong product sense — you should care not just about whether something works technically, but whether it solves a real user problem. Ability to collaborate with non-technical stakeholders, ask sharp questions, and simplify complex technical concepts. High agency, speed, and ownership. You should be comfortable operating in a fast-moving environment where the problem statement may evolve as you build. Strong communication s
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