Production AI Agentic Systems Engineer

Acceler8 Talent; New York (NY); On-site; USD 200,000 - 225,000; Full time

Job summary

A leading AI firm in New York is seeking a Mid-Senior level engineer to develop agentic systems that impact scientific discovery. The role involves building workflows, developing data pipelines, and ensuring production-quality systems. Candidates should have strong Python skills, experience in delivering agentic tools, and a motivation to solve complex scientific problems. Join a small, focused team with high ownership of projects that influence real-world outcomes.

Qualifications

• Experience building agentic systems or workflows in production (0→1 experience strongly valued).
• Strong Python experience, including async programming and modern AI tooling.
• Experience building tools or APIs that agents can reliably reason about and call.
• Comfort working on systems that operate under real constraints and failure modes.
• Motivation to apply AI to hard scientific and technical problems.

Responsibilities

• Build and maintain agentic tools that retrieve data, call APIs, write and execute code, and orchestrate scientific workflows.
• Design and debug agentic workflows (single- and multi-agent), including planning, goal decomposition, and context management.
• Develop data pipelines that ingest, transform, and serve data to LLM-powered systems.
• Build production-quality asynchronous Python systems with strong typing, packaging, and testing discipline.
• Instrument systems with telemetry and observability so failures are diagnosable and recoverable.
• Work closely with ML engineers, scientists, and automation teams in a deeply technical, on-site environment.

Job description

A leading AI firm in New York is seeking a Mid-Senior level engineer to develop agentic systems that impact scientific discovery. The role involves building workflows, developing data pipelines, and ensuring production-quality systems. Candidates should have strong Python skills, experience in delivering agentic tools, and a motivation to solve complex scientific problems. Join a small, focused team with high ownership of projects that influence real-world outcomes.