Member of Technical Staff - Agentic Systems

Company: Context
Location: Palo Alto
Posted on: June 1, 2025

Job Description:

TL;DRContext is turning large language models into autonomous co-workers. Our productivity suite lets AI plan, reason, and execute across 300+ business tools. We've raised $11M (Seed, Lux Capital) at a $70M valuation and ship GA this June. We're hiring engineers who live and breathe LLMs-building the SDKs, runtimes, and eval harnesses that make LLM agents reliable at scale.If you sketch agent flows in Excalidraw, obsess over token-level traces, etc., let's talk.Why build agents at Context?

• Impact: Frontier playground
• 50M-token memory --' agents with persistent cognition well beyond frontier models.
• Full-stack autonomy: Agents open docs, write slides, hit APIs, and re-plan-no brittle RPA hacks.
• Tight feedback loops: Beta fleet drives > 5K agent runs/day; your PRs hit prod within hours.
• Elite peers: Microsoft Research, Stanford, Tesla peers-zero bureaucracy.
• Hardware ally: Qualcomm SnapdragonXElite partnership: 10-- lower latency, on-device privacy. Gateway into enterprise & government.What you'll build
  • Agent SDK (TypeScript) - a composable toolkit (task graph, tools, memory adapters) powering both server-side and edge runtimes.
  • Swarm Runtime - orchestrator in Node.js/Workers that schedules, supervises, and retries agent sub-tasks at millisecond granularity.
  • Graph Traversal APIs - ergonomic wrappers around our 50M-token knowledge graph with streaming, partial updates, and vector fallbacks.
  • Adaptive Prompt Compiler - real-time TS library that compiles structured inputs --' model-specific prompts and parses responses.
  • Evaluation Harness - Jest/Playwright-style test runner that auto-red-teams agents for hallucinations, tool-use failure, and latency regressions.Tech you'll touchTypeScript --- Node.js (18+) --- Bun --- Cloudflare Workers / V8 isolate
    LangChainJS, LlamaIndex TS, custom lightweight frameworks
    OpenAI, Anthropic, Llama CPP bindings
    Rust (via NAPI) for hot paths --- WebGPU/WebAssembly for client-side reasoning
    Postgres --- Redis --- Apache Arrow --- bespoke graph store
    Kubernetes --- GCP --- Edge functionsYou might be a fit if
    • You've shipped production TS/Node services at scale and love type-level safety.
    • You've built or contributed to agent / retrieval frameworks (LangChainJS, AutoGen, custom) and can dissect their failure modes.
    • You treat prompts as code: unit-test them, version them, and lint them.
    • Comfortable jumping into Rust/Wasm when the profiler says so.
    • You think debuggers, trace viewers, and live-reload matter as much as model choice.Bonus points
      • Authored OSS in the LLM tooling ecosystem (LangChainJS plugin, OpenAI helper lib, etc.).
      • Experience with CRDT/OT for collaborative agent state or live-share UIs.
      • Prior work on distributed schedulers or graph databases.Compensation & Perks
        • Top-of-band salary + founder-level equity
        • Medical, dental, vision --- 401(k) match
        • Custom rig & conference budget
        • Bi-annual team off-sites (Tahoe powder, NYC AI Week, etc.)Ready to push LLMs beyond chat-with TypeScript?Email team@context.inc with a short intro and links (repos, demos, papers). We reply within 48 hours.
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Keywords: Context, San Rafael , Member of Technical Staff - Agentic Systems, IT / Software / Systems , Palo Alto, California