Senior AI Agent Systems Engineer

Remote; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Orbis is seeking a senior engineer to own the agentic systems at the heart of Orbis AI. You will architect and ship agents, manage the orchestration layer, and design robust retrieval and provenance pathways.

This role focuses on correctness, explainability, cost, and operating at scale across mission-critical workloads. Ideal candidates have 4+ years in software engineering, strong Python/TypeScript skills, and hands-on experience with retrieval-augmented generation and multi-step, tool-using

Qualifications

• 4+ years of professional software engineering experience, incl 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, ranking
• 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
• Willingness to travel up to 15%

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 rather than a limitation.
• 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-backed systems

Agentic AI

Production code

Education

Bachelor's degree in CS or related field

Job description

Orbis is seeking a senior engineer to own the agentic systems at the heart of Orbis AI. You will architect and ship agents, manage the orchestration layer, and design robust retrieval and provenance pathways.

This role focuses on correctness, explainability, cost, and operating at scale across mission-critical workloads. Ideal candidates have 4+ years in software engineering, strong Python/TypeScript skills, and hands-on experience with retrieval-augmented generation and multi-step, tool-using