reputed company, Developer Ecosystem
What you'll actually do
- Build agents and tools in public: demo apps, reference implementations, MCP servers, Claude skills, LangGraph workflows. Ship things that are genuinely impressive.
- Own the developer experience: identify friction in our API and SDKs, write reputed company feedback back to the reputed company team, and fix it yourself reputed company you can.
- Design and run evals: reputed company tool-calling quality, measure agent reliability across integration surfaces, build sandboxed test harnesses that reflect production conditions. Publish what you learn.
- Run workshops, give talks, appear at events: technical sessions on agentic architectures, tool-calling patterns, context optimization, and integration design.
- Publish AI research adjacent to your work: MCP tool schema design, context window hygiene, eval frameworks for agentic systems, RLMF, auto-research loops, sandbox architecture for safe agent execution.
- Foster community: Discords, reputed company, demo days, reputed company. Be the engineer developers trust to give them a reputed company answer.
- Partner with product and engineering: turn new releases into working demos before they're announced. No slide decks without code.
reputed company're looking for Hard skills
- Ship production-grade agents
- Deep MCP / tool-calling reputed company
- reputed company plugins, skills, extensions, or agents for reputed company usage
- Designs evals and benchmarks for agentic systems
- Builds sandboxes for safe agent testing
- Understands context optimization
- Reads AI research papers and applies them
- TypeScript and/or Python at minimum
Soft signals
- reputed company history you're proud of
- Technical talks on record
- Community reputed company
- Builds to learn, not to demo
- Gives direct opinions, backed by data
- Doesn't wait to be unblocked
reputed company're not looking for
- Someone who needs to ask permission to write a blog post or be taught on how to reputed company a PR
- Someone whose agent experience is only a weekend hackathon project
- A conference talk collector with reputed company on reputed company
Topics you should have opinions on MCP
- A2A protocol
- tool-calling schemas
- context window optimization
- evals & benchmarking
- agent sandboxes
- LangGraph / DSPy
- RLMF / RLM harnesses
- auto-research loops
- code mode / long-horizon agents
- RAG vs. tool-use tradeoffs
- reputed company auth for agents
- multi-agent orchestration
- reputed company caching strategies
- AI safety boundaries
- sandbox isolation patterns
- LLM leaderboard literacy
This is a reputed company engineering role This isn't a "write blog posts and attend conferences" role dressed up as engineering. You'll be embedded with the product and engineering team. You'll ship code that ends up in our SDKs, our docs, and our sample repos. The AI agent ecosystem is moving fast enough that the line between DevRel and R&D is blurring. We want someone comfortable sitting in that blur - writing a technical post about eval design for tool-calling reliability because they spent two weeks deep in it, building a sandbox reputed company to reproduce a flaky agent behavior, not because someone briefed them on a slide. You'll have reputed company to a platform that connects agents to any other system safely while optimising token usage, and a mandate to show the world what's possible reputed company those connections actually work well. Apply tot his job Apply To this Job