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3804-AI Forward Deployed Engineer

1 day ago
United States
Full-time
Junior
AI Engineer
Software Development
AWS Azure Dagster GCP LLM Microservices Prefect Python React TypeScript
Apply Now
Innovaccer

Innovaccer

Innovaccer is a top data platform for value-based care, providing unified patient data solutions to revolutionize healthcare outcomes worldwide.

IT Services
1K-5K
Founded 2014
$379M raised
View All Jobs 3

Description

  • Design and implement AI agents that reason, plan, use tools, and execute actions on the Gravity platform.
  • Build agentic workflows that combine LLMs, tools, memory, and orchestration layers.
  • Deploy AI solutions within weeks and integrate them with data pipelines, APIs, workflows, and enterprise systems.
  • Develop workflows using agentic frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex Agents, and Haystack Agents.
  • Design automation with orchestration tools such as n8n, Temporal, Prefect, and Dagster.
  • Implement MCP, function calling, and tool-using agents, including patterns such as ReAct, Plan-and-Execute, and multi-agent coordination.
  • Work directly with customer technical, data, and operational teams to understand workflows, constraints, and success criteria.
  • Prototype, iterate on, and harden solutions for live customer use while serving as a technical advisor during AI rollout.
  • Write production-grade code in Python and/or TypeScript and build APIs, services, and data pipelines.
  • Ensure reliability, observability, security, and performance, including failure handling, guardrails, retries, and human-in-the-loop workflows.
  • Document architectures, orchestration logic, and best practices, and translate customer-specific implementations into reusable patterns.
  • Feed learnings back into Innovaccer’s AI and Gravity platform roadmap.

Requirements

  • 2+ years of hands-on experience in software engineering, applied AI, or AI systems.
  • Demonstrable experience building AI agents or agentic workflows in professional, academic, or open-source settings.
  • Hands-on experience with modern agentic frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex Agents, Haystack, or equivalent.
  • Experience with workflow orchestration or automation tools such as n8n, Temporal, Prefect, Dagster, or similar.
  • Strong understanding of LLMs and prompt engineering.
  • Strong understanding of tool-using agents, planning, memory, and execution loops.
  • Strong understanding of MCP (Model Context Protocol) and function/tool calling architectures.
  • Proficiency in Python and/or TypeScript.
  • Ability to ramp quickly on new platforms and ship working solutions fast.
  • Comfort working directly with customers in ambiguous, fast-moving environments.
  • Strong communication, problem-solving, and ownership mindset.
  • Preferred: experience deploying AI solutions in production or regulated environments.
  • Preferred: familiarity with healthcare data, workflows, or enterprise data platforms.
  • Preferred: experience building APIs, microservices, or cloud-native systems on AWS, Azure, or GCP.
  • Preferred: exposure to observability, tracing, evaluation, or monitoring of agentic systems.
  • Preferred: background in customer engineering, solutions engineering, consulting, or forward-deployed roles.

Benefits

  • 22 days of fixed paid time off per year, plus company holidays.
  • Best-in-class parental leave.
  • Recognition and rewards, including monetary incentives and company-wide recognition.
  • Comprehensive medical, dental, and vision insurance.
  • 100% company-paid short- and long-term disability insurance.
  • 100% company-paid basic life insurance.
  • Optional discounted legal aid and pet insurance.

Interested in this position?

Apply directly on the company website

Apply Now

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