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StackOne

StackOne

www.stackone.com

1 Job

36 Employees

About the Company

Hundreds of APIs, Standardized.

Build integrations incredibly quickly, reliably, and securely using our Unified APIs (in HRIS, ATS, CRM, CS Platform, and more).

Listed Jobs

Company background Company brand
Company Name
StackOne
Job Title
AI Engineer, Developer Ecosystem
Job Description
**Job Title** AI Engineer, Developer Ecosystem **Role Summary** Build production‑grade AI agents, improve developer experience, design evaluation frameworks, and publish technical research for an AI integration platform. Act as the bridge between engineering, product, and external developer community. **Expectations** - Deliver code that reaches SDKs, documentation, and sample repositories. - Own and iterate on the developer funnel: identify friction, provide actionable feedback, and resolve issues. - Demonstrate strong problem‑solving, data‑driven decisions, and proactive unblocking. **Key Responsibilities** - Develop and launch agents, tools, and reference implementations (e.g., MCP servers, Claude skills, LangGraph workflows). - Design and run sandboxed evaluation harnesses; benchmark tool‑calling quality and agent reliability across integration surfaces. - Publish findings, research papers, and technical posts on topics such as MCP, tool‑calling schemas, context optimization, and sandbox isolation. - Conduct workshops, talks, and community events (Discord, GitHub, demo days). - Partner with product and engineering to create working demos ahead of releases. **Required Skills** - Proven experience shipping production‑grade AI agents with deep MCP / tool‑calling fluency. - Proficiency in TypeScript and/or Python. - Strong ability to design evals, benchmarks, and safe testing sandboxes for agentic systems. - Knowledge of context optimization, LangGraph/DSPy, RLMF, auto‑research loops, multi‑agent orchestration, prompt caching, and AI safety boundaries. - Active GitHub presence with demonstrable, reusable code. - History of technical talks, workshops, or community contributions. **Required Education & Certifications** - Bachelor’s degree or higher in Computer Science, Electrical Engineering, or related field. - Certifications in AI/ML or cloud platforms are a plus but not essential.
San francisco, United states
Hybrid
18-03-2026