Agent Systems Engineer
Adaption Labs
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. 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. 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. #J-18808-Ljbffr Adaption Labs
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...Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAIAI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data...SuggestedFull time- Scale AI is hiring a Machine Learning Systems Research Engineer, Agent Post-training for our Enterprise GenAI team in New York. You will build, optimize, and post-train state-of-the-art models, enabling scalable agent training across enterprise use-cases, from cybersecurity...Suggested
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Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data...Full timeContract workFor contractorsFor subcontractorWork at office- AI Systems Engineer - Codex Core Agents Location San Francisco Employment Type Full time Department Applied AI Compensation 230K-385K Offers Equity The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge...Full timeWork at officeLocal areaRelocation packageFlexible hours
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Slope is hiring an AI Systems Engineer in San Francisco. This position focuses on designing and building core agent systems for Codex, improving observability and efficiency in operations. The role demands expertise in production systems and a solid grasp of Rust and Python...- Manicule is building AgentRel, a platform to help companies become discoverable, cited, and recommended by AI agents. You’ll write excellent TypeScript and shape how sources are surfaced, cited, and used to inform decisions. You’ll work directly with customers to understand...
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- ...teams: a security-focused product where an agent registers as a governed identity in a... ...escalates for human approval, and drives systems it was never given an API for. Raised a... ...is a backend- and systems-heavy founding engineering role where "full-stack" means owning the...Full timeH1bVisa sponsorship
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...part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role As a Senior Systems Engineer, you’ll play a key role in building and optimizing Crusoe’s global technology infrastructure. This is a hands-on, on-site role...Temporary work$182k - $242k
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...requirements. - Be responsible for architectures and requirements sets for assigned system-level areas as part of Hardware Development. - Work closely with stakeholders and domain engineers to transform product guidance into design through every stage of the product...Work at office$10 per hour
...challenges that impact business, society, and the environment? Come join us. The Opportunity: Flexport IT is looking for a Senior Systems Engineer (Identity & Access) . In this role, you will design, implement, and administer our Identity and Access Management (IAM)...Flexible hours- Arcadia is looking for a Senior Software Engineer (AI Agents) in San Francisco. In this pivotal role, you will build core systems for an intelligent automation platform used in operations-heavy industries. Your responsibilities will include designing production-grade LLM...
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- ...Description Job Description San Francisco, California | Primarily On-site We are seeking an Agent Evaluation Infrastructure Engineer to build the environments, evaluation systems, and supporting infrastructure used to train and assess long-horizon enterprise AI agents....
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