Senior AI Agentic Systems Engineer (Remote/Travel)

Orbis Operations LLC; United States; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Orbis seeks a senior software engineer to own the agentic systems at the core of Orbis AI, overseeing orchestration, retrieval, and tool-use capabilities. You will build agents that perform reliably under mission workloads and define evaluation standards across the team.

Travel up to 15% for customer engagement and integration support. Ideal candidates have 4+ years in software engineering, 2+ years with LLM-backed or agentic systems, and strong Python/TypeScript skills.

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 the failure modes of each.
• Demonstrated experience building and debugging multi-step, tool-using agents, whether on a framework or from primitives.
• Proven rigor about evaluation, including harnesses that measured whether an AI change actually improved anything.

Responsibilities

• Architect and ship agents across the portfolio – knowledge agents over customer data, tool agents that wrap external operations, and goal-driven agents that plan and execute multi-step analysis.
• 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 the query-time behavior that decides answer quality.
• Build the provenance and citation paths that let a user see how a conclusion was reached, and treat unexplainable output as a defect.
• Own the evaluation infrastructure for agent quality - accuracy, groundedness, explainability, latency, and cost - and set the standard other engineers write cases against.
• Integrate model providers and third-party tools behind stable internal interfaces, and instrument agents so quality regressions and cost anomalies surface before a customer finds them.
• Partner with research engineers to productionize validated results, and mentor engineers moving into AI work from a conventional software background.
• Travel: Up to 15% for customer engagement, integration support, and team collaboration.

Skills

Python

TypeScript

LLM/Agentic systems

Retrieval-augmented generation

Evaluation

Travel

Education

Bachelor's degree in Computer Science or related field

Job description

Orbis seeks a senior software engineer to own the agentic systems at the core of Orbis AI, overseeing orchestration, retrieval, and tool-use capabilities. You will build agents that perform reliably under mission workloads and define evaluation standards across the team.

Travel up to 15% for customer engagement and integration support. Ideal candidates have 4+ years in software engineering, 2+ years with LLM-backed or agentic systems, and strong Python/TypeScript skills.