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3803-AI Forward Deployed Engineer

1 hour, 44 minutes 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 11

Description

  • Design and implement AI agents that reason, plan, use tools, and execute actions on the Gravity platform.
  • Build agentic workflows that combine LLMs, memory, orchestration layers, and external tools.
  • Deploy AI solutions on aggressive timelines and integrate them with data pipelines, APIs, workflows, and enterprise systems.
  • Work directly with customer technical, data, and operational teams to understand workflows, constraints, and success criteria.
  • Rapidly prototype, iterate on, and harden solutions for live customer use.
  • Act as a trusted technical advisor during AI adoption and rollout.
  • Write production-grade code in Python and/or TypeScript.
  • Build and integrate APIs, services, and data pipelines for AI systems.
  • Ensure reliability, observability, security, and performance of deployed AI solutions.
  • Convert customer-specific implementations into reusable patterns, and document architectures and best practices.

Requirements

  • 2+ years of hands-on experience in software engineering, applied AI, or AI systems.
  • Strong, 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.
  • 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 such as 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 (preferred).

Benefits

  • 22 days of fixed paid time off per year, plus company holidays.
  • Best-in-class parental leave.
  • Monetary incentives and company-wide recognition for impact and dedication.
  • 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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