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Senior AI/ML Engineer - Agentic Workflow Platform

People In AI • United State
Remote
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AI Summary

Build and ship production-grade agentic AI workflows that automate complex customer processes. Develop tool-using, multi-step AI systems integrated into the company's core product. Requires strong software engineering fundamentals, US citizenship, and clearance eligibility.

Key Highlights
Build production agent workflows and AI automation features
Implement tool calling, orchestration, and multi-step reasoning
Must be US citizen eligible for clearance
Key Responsibilities
Build production agent workflows and AI automation features
Implement tool calling, orchestration, and multi-step reasoning
Connect AI capabilities into existing platform workflows
Translate customer problems into scalable agentic solutions
Own ambiguous, zero-to-one projects from concept to production
Ship reliable features, not just prototypes
Technical Skills Required
Python LLM-powered applications RAG Cloud and backend infrastructure
Benefits & Perks
Up to $250,000 base salary
Equity compensation
Fully remote within the U.S.

Job Description


Senior AI/ML Engineer, Agent Workflows

Compensation: Up to $250,000 Base + equity

Location: Fully remote within the U.S. with some travel for team collaboration


Must be a US citizen able to obtain clearance


Join a fast-growing technology company building AI-powered software for complex, mission-critical workflows.


This Senior AI Engineer will help evolve an existing AI assistant into a production-grade agentic workflow platform. You will build tool-using, multi-step AI systems that automate real customer workflows and integrate directly into the company’s core product.


What You’ll Do

  • Build production agent workflows and AI automation features
  • Implement tool calling, orchestration, and multi-step reasoning
  • Connect AI capabilities into existing platform workflows
  • Translate customer problems into scalable agentic solutions
  • Own ambiguous, zero-to-one projects from concept to production
  • Ship reliable features, not just prototypes


What You’ll Bring

  • Strong software engineering fundamentals
  • Production experience with LLM-powered applications
  • Experience building agents, workflow automation, or tool-using AI systems
  • Familiarity with RAG, orchestration, and backend systems
  • High ownership and comfort in fast-moving environments
  • U.S. citizenship and clearance eligibility
  • Willingness to travel up to 25%


Tech Stack

  • Python
  • OpenAI, Anthropic, or equivalent LLMs
  • LangChain, LlamaIndex, or custom agent frameworks
  • Tool calling and workflow orchestration
  • Retrieval-augmented generation
  • Cloud and backend infrastructure


Why Join?

You will help shape an agentic AI platform used in high-impact operational environments, with direct ownership, real customer exposure, and the opportunity to build systems that move beyond chat into meaningful workflow automation.


About People In AI

People In AI connects exceptional AI, machine learning, and data talent with ambitious technology companies. All applications are handled confidentially.


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