Job Opportunities API

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 business and functional teams to identify opportunities for agentification, workflow automation, and AI-assisted decision-making Understand complex operational processes across teams and convert them into structured problem statements, system designs, and technical workflows. 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. Collaborate with engineering, product, data, security, and business stakeholders to move prototypes into scalable, maintainable solutions. Evaluate build-vs-buy options for AI workflows and recommend the right technical approach for each use case. Create reusable components, templates, prompts, connectors, and playbooks to accelerate agent development across Innovaccer. Ensure solutions are built with appropriate attention to data privacy, security, reliability, observability, and responsible AI usage.  Act as an internal evangelist for agentic workflows by demonstrating what is possible and helping teams adopt AI-native ways of working. Stay close to the evolving AI ecosystem, including LLMs, agent frameworks, orchestration layers, RAG patterns, evaluation methods, and automation tools. What You Need 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. Strong understanding of system design, APIs, databases, authentication, integrations, and cloud-native application development. Experience or strong interest 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