4210-Forward Deployed Engineer

Ovii's Interpretation of the Role

The Forward Deployed Engineer partners with business and product teams to turn ambiguous operational problems into AI‑driven internal tools and automations. You’ll design, prototype, and ship production‑grade agents, copilots, and workflow solutions on Innovaccer’s platform, emphasizing speed, reliability, and responsible AI use.

Role Snapshot

• Build AI agents and workflow automations
• Prototype and ship production‑grade internal tools
• Collaborate across engineering, product, data, and business teams
• Translate ambiguous business needs into technical designs
• Advocate for AI‑native ways of working

Must-Have Requirements

• Software engineering (3–7 years)
• Python, JavaScript/TypeScript, Java
• System design, APIs, databases, authentication, cloud‑native development
• AI/LLM experience or strong interest
• Agent frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, OpenAI/Anthropic APIs)
• Enterprise workflow tools (Salesforce, HubSpot, Jira, Slack, Google Workspace, Notion)
• Strong communication and documentation
• software engineering
• AI/LLM product development
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical discipline

Nice-to-Have Signals

• Product, platform, internal‑tools, or automation experience
• Prior exposure to platform‑led product development
• Familiarity with healthcare data, SaaS platforms, regulated environments
• product engineering
• platform engineering
• internal tools
• automation

Work Setup

• Location: San Francisco, United States
• Work mode: ONSITE
• Employment type: Full-Time

Eligibility Gates

• Work authorization: Must be authorized to work in the United States (E‑Verify)
• Visa sponsorship: no

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Coding test

What You'll Likely Work On

• Partner with internal teams to identify high‑impact automation opportunities
• Design and implement AI agents, copilots, and RAG‑based workflows on the Gravity platform
• Rapidly prototype solutions using LLMs, agent frameworks, and internal APIs
• Iterate prototypes based on user feedback and move them to scalable, maintainable production
• Create reusable components, prompts, connectors, and playbooks for broader adoption
• Ensure solutions meet data privacy, security, observability, and responsible AI standards
• Evaluate build‑vs‑buy decisions for AI workflows and recommend optimal approaches
• Act as an internal evangelist, demonstrating AI‑agent capabilities to non‑technical stakeholders

Good Fit If You Have

• Enjoys turning vague business problems into concrete technical products
• Thrives in fast‑moving environments where requirements evolve during development
• Excels at communicating complex technical ideas to non‑technical audiences