Sr. AI Engineer – Agent Orchestration

Sr. AI Engineer – Agent Orchestration

A high-growth technology company building AI-powered software for US government customers is hiring a Senior AI Engineer focused on agent workflow orchestration. The company’s AI agent has seen rapid adoption, and the team is now pushing it to handle increasingly complex, multi-step tasks either fully autonomously or in a human-in-the-loop mode.

This role is squarely backend and systems-focused. You’ll be designing how an AI agent plans, sequences, and executes long-running workflows — coordinating across multiple tools, data sources, and sub-agents to complete jobs that today require hours of manual work. Think of it as building the brain and nervous system of the agent, not the hands.

What You’ll Do

• Architect and build the workflow engine that powers multi-step agent task execution — including planning, sequencing, branching, error recovery, and human handoff points
• Design and implement multi-agent coordination patterns: routing between specialized sub-agents, managing shared memory and context, and orchestrating parallel workstreams
• Build scalable tool-use infrastructure that lets agents dynamically discover, select, and chain tools based on task requirements
• Own reliability and observability for long-horizon agent tasks — designing checkpointing, retry strategies, and evaluation harnesses that catch failures before users do
• Define and enforce the technical architecture and engineering standards for agentic systems across the platform

What We’re Looking For

• You have built an LLM reliably completing complex, multi-step tasks in production — not just single-turn Q&A, but real workflows with branching logic, tool calls, and failure handling
• Deep experience with workflow orchestration patterns (DAGs, state machines, event-driven architectures) applied to LLM-powered systems
• Hands-on experience with agent frameworks (Claude Agent SDK, OpenAI Agent SDK, LangGraph, or similar)
• Strong understanding of LLM reliability engineering: structured outputs, guardrails, token management, context window strategies, and evaluation pipelines
• Experience building systems that balance autonomy with human oversight (approval gates, escalation logic, confidence thresholds)
• Startup mindset — comfort with ambiguity, speed, and owning problems end-to-end

What Skills Do I Need?

• 5 years of experience designing, building, and deploying production-grade ML or LLM-powered systems
• Advanced Python skills
• Hands-on AWS / cloud infrastructure experience
• Familiarity with Git and modern development practices
• Experience with modern frontend frameworks (React, Next.js) is a plus but not required
• Active or obtainable US security clearance is a plus

Compensation:

• Base Salary based upon experience but expect around $175,000
• 20-30% bonus - paid quarterly
• Equity - between $125,000 - $175,000 with 4 year vest
• Unlimited PTO
• 401(k) with 4% immediate vesting
• Professional development reimbursement

Please Note:

• You must be a US Citizen
• This is a Full-time, on-site (5 days) position in Pittsburgh, PA
• Role may include some travel - up to 10% - mainly between Pittsburgh and Washington DC area
• We offer relocation assistance if you are not currently local to the Pittsburgh area.