Software 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

Base pay range

$200,000.00/yr - $225,000.00/yr

We’re building autonomous systems that accelerate scientific discovery.

Our core product is an AI agent that plans, executes, and iterates across complex scientific workflows - running optimization loops, querying literature and experimental data, and scheduling large-scale simulations. This system operates continuously and directly influences real-world outcomes.

You’ll be building agentic systems that run in production.

What You’ll Do

• 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.

What We’re Looking For

• 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.

Nice to Haves

• Experience building SDKs or developer tools.
• Exposure to scientific computing, simulation pipelines, or ML-in-the-loop systems.
• Experience with Docker, Kubernetes, or hybrid on-prem/cloud environments.

Why This Role

• Build agentic systems that operate beyond demos and dashboards.
• Work on software that directly influences real-world outcomes.
• High ownership in a small, deeply technical team shaping the future of scientific discovery.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Research, Information Technology, and Engineering

Industries

• Software Development