Senior Agent Systems Engineer

Acceler8 Talent; Redwood City (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Competitive salary

Strong equity in a fast-scaling AI organization

Job summary

A cutting-edge AI research organization is looking for a Machine Learning Recruiter to join their team in building autonomous systems that interact with complex engineering workflows. The role combines technical ownership with creative problem-solving in a mission-driven environment. Ideal candidates should have experience with agent systems and possess strong systems-engineering fundamentals. This full-time position offers a competitive salary and equity in a fast-scaling organization.

Qualifications

• Experience building agent systems, orchestrators, tool-use frameworks, or structured LLM pipelines.
• Strong systems-engineering fundamentals — deterministic thinking, reliability, and failure-mode awareness.
• Comfort designing workflows that integrate with complex real-world tools.
• Ability to work in a fast, experimental environment where robustness matters.

Responsibilities

• Build agent planning and orchestration systems that coordinate tool calls, workflows, and long-horizon tasks.
• Design schemas, action interfaces, and deterministic execution flows.
• Implement robust error-handling, rollback, retry, and reproducibility strategies.
• Own the tooling logic that connects agents to real engineering stacks.
• Partner with ML researchers, infra teams, and domain experts to deliver production-grade agent systems.

Job description

This range is provided by Acceler8 Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $250,000.00/yr

Location: SF Bay Area (On-site)

🚀 The Machine Learning Recruiter! 🌎 | I've been filling MLE roles for over 8 years | Winner of Outstanding Advocate for Women in Tech 23 👩💻 |…

We’re representing a frontier AI research group building autonomous systems that can reason, plan, and operate complex real-world engineering workflows. This is a core engineering role shaping how intelligent agents interact with tools, data, and long-horizon tasks.

The Opportunity

Join a small, high‑performing team designing the orchestration, planning, and execution layer that enables LLM‑driven agents to reliably complete multi‑step engineering processes.

What You’ll Do

• Build agent planning and orchestration systems that coordinate tool calls, workflows, and long‑horizon tasks
• Design schemas, action interfaces, and deterministic execution flows
• Implement robust error‑handling, rollback, retry, and reproducibility strategies
• Own the tooling logic that connects agents to real engineering stacks
• Partner with ML researchers, infra teams, and domain experts to deliver production‑grade agent systems

What You Bring

• Experience building agent systems, orchestrators, tool‑use frameworks, or structured LLM pipelines
• Strong systems‑engineering fundamentals — deterministic thinking, reliability, and failure‑mode awareness
• Comfort designing workflows that integrate with complex real‑world tools
• Ability to work in a fast, experimental environment where robustness matters

Why This Role Excites People

• Build agent systems that control real physical‑world workflows, not just simulations
• Huge scope for technical ownership and creative problem‑solving
• Mission‑driven environment focused on breakthrough autonomy
• Competitive salary + strong equity in a fast‑scaling AI organization

Interested?

If you’re passionate about building reliable, intelligent agent systems at the cutting edge of AI and autonomy, we’d love to speak.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Staffing and Recruiting