Agent Systems Engineer
Adaption is hiring an Agent Systems Engineer for a remote role open to applicants in United States. Level rates it ; you can apply on Adaption.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include OpenAI, OpenAI API and MCP.
- Level classifies it as a senior role.
- Level lists 6 other open roles at Adaption.
AI in this role
Build and scale core multi-step agent systems and LLM execution loops from prototype to production.
The Role
You'll build the agent systems at the core of our product. These systems turn customer goals into reliable, multi-step execution across real tools and services.
This is not about building demos. You'll work on agents that operate under real constraints: incomplete information, external failures, limited budgets, and unpredictable traffic. You'll own how they plan, use tools, recover from errors, and improve over time.
Responsibilities
Design agent architectures for planning, reasoning, tool use, memory, and integration with external systems and data.
Improve reliability on long-running, multi-step tasks, including failure recovery.
Build the loops that let agents improve with real use, so performance compounds instead of staying frozen.
Develop evaluations that measure agent performance and resist being gamed.
Make practical tradeoffs between quality, latency, cost, and complexity.
Qualifications
5+ years building production ML or backend systems, including taking LLM or agent applications from prototype to production.
Strong understanding of agent design: planning, reasoning, tool use, orchestration, and memory.
Experience building rigorous evaluation systems, plus execution tracing and observability for agents, with a focus on reproducibility.
Familiarity with the OpenAI Responses API, MCP, and server- versus client-side execution.
Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
About us
Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
Benefits
Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
Well-Being: Comprehensive medical benefits and generous paid time off.
How we rate this
Agent Systems Engineer at Adaption rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where agent architecture was part of your work. What did you do?
- Tell me about a project where llm was part of your work. What did you do?
- Tell me about a project where ml systems was part of your work. What did you do?
- Tell me about a project where python was part of your work. What did you do?
- Walk me through how you've used OpenAI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Agent Architecture, LLM, ML Systems, Python, and OpenAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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