Senior AI Agent Orchestration Engineer

Orbis; Oregon; Hybrid; USD 180,000 - 230,000; Full time

Job summary

Orbis is seeking a senior software engineer to own the agentic systems at the center of Orbis AI — orchestration, planning, retrieval, and tool-use machinery behind the Agent Catalog and the OSINT Agent Harness. You will build agents that perform under mission workloads and set the evaluation bar for the organization.

This is senior engineering on AI systems focusing on correctness, explainability, cost, and scale; travel up to 15% for customer engagement and team collaboration.

Qualifications

• 4+ years of professional software engineering experience, including 2+ years building LLM-backed or agentic systems in production
• Bachelor's degree in Computer Science, a related technical field, or equivalent professional experience
• Strong programming skills in Python and/or TypeScript, with substantial production code in at least one
• Deep practical experience with retrieval-augmented generation — embeddings, vector search, chunking strategy, ranking, and failure modes
• Demonstrated experience building and debugging multi-step, tool-using agents, whether on a framework or from primitives
• Proven rigor about evaluation, including harnesses that measure AI changes
• Willingness to travel up to 15%

Responsibilities

• Architect and ship agents across the portfolio — knowledge agents over customer data, tool agents, and goal-driven agents that plan and execute
• Own the orchestration layer: planning, tool selection, state and memory, retries, partial failure, and termination behavior
• Design and own retrieval end to end — chunking, embedding, indexing, ranking, and query-time behavior
• Build the provenance and citation paths that show how conclusions were reached and treat unexplainable output as a defect
• Own the evaluation infrastructure for agent quality — accuracy, groundedness, explainability, latency, and cost
• Integrate model providers and third-party tools behind stable interfaces and monitor cost and regressions
• Partner with research engineers to productionize validated results, and mentor engineers moving into AI
• Travel up to 15% for customer engagement, integration support, and team collaboration

Skills

LLM-backed systems

Python

TypeScript

agentic systems

production code

software engineering

research collaboration

Education

Bachelor's degree in Computer Science or related field

Job description

Orbis is seeking a senior software engineer to own the agentic systems at the center of Orbis AI — orchestration, planning, retrieval, and tool-use machinery behind the Agent Catalog and the OSINT Agent Harness. You will build agents that perform under mission workloads and set the evaluation bar for the organization.

This is senior engineering on AI systems focusing on correctness, explainability, cost, and scale; travel up to 15% for customer engagement and team collaboration.