About the job
About the Role
At Innovaccer, we are pioneering the development of an AI Forward Deployed Engineering (FDE) team dedicated to transforming AI concepts into actionable solutions within customer environments. As an AI Forward Deployed Engineer, you will collaborate closely with clients to design, build, and deploy AI agents and workflows on Innovaccer’s state-of-the-art Gravity platform. Your mission will be to deliver functional AI solutions in a matter of weeks, not months.
A Day in the Life
Build & Deploy AI Agents on Gravity
- Engineer and implement AI agents capable of reasoning, planning, utilizing tools, and executing tasks.
- Create agentic workflows that integrate LLMs, tools, memory, and orchestration layers.
- Deploy AI solutions on the Gravity platform with aggressive timelines.
- Seamlessly integrate agents with data pipelines, APIs, workflows, and enterprise systems.
Agentic Workflow & Orchestration
- Develop AI-driven workflows leveraging advanced agentic frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex Agents, and Haystack Agents.
- Design automation workflows using orchestration platforms like n8n, Temporal, Prefect, and Dagster.
- Implement Model Context Protocol (MCP), function calling, and tool-using agents.
- Employ agentic strategies including ReAct, Plan-and-Execute, and multi-agent coordination.
Customer-Embedded Engineering
- Engage directly with customer technical, data, and operational teams.
- Gain insights into real-world workflows, constraints, and success criteria.
- Rapidly prototype, iterate, and refine solutions for real-time customer deployment.
- Serve as a trusted technical advisor throughout the AI adoption journey.
Applied Software Engineering
- Produce production-level code in Python and/or TypeScript.
- Develop and integrate APIs, services, and data pipelines.
- Ensure the reliability, observability, security, and performance of AI systems.
- Design systems with failure modes, guardrails, retries, and human-in-the-loop workflows in mind.
Productization & Knowledge Transfer
- Transform customer-specific implementations into reusable agent patterns and workflows.
- Document architecture, orchestration logic, and best practices.
- Incorporate learnings back into Innovaccer’s AI and Gravity platform roadmap.
