What You'll Do

- Build Gen-AI product features - Design and ship agentic workflows that turn author briefs into simulations, roleplays, assessments, and coaching experiences
- Engineer for production - Write robust TypeScript services and APIs; handle streaming, latency, cost, rate limits, failure modes, and observability for LLM-backed features
- Develop AI agents - Build and orchestrate multi-step agents (planning, tool use, structured outputs, guardrails) that generate and refine learning content reliably
- Evaluate and iterate - Build evals and feedback loops to measure generation quality, catch regressions, and improve prompts/agents systematically
- Collaborate and communicate - Work with product managers, learning designers, and fellow engineers; write clear design docs, articulate trade-offs, and present your work
- Stay current - Track the fast-moving Gen-AI landscape (models, agent frameworks, retrieval techniques) and bring the best of it into KNOLSKAPEs products

What We're Looking For

Must-Have

- 2+ years of professional software engineering experience , with solid proficiency in JavaScript/TypeScript (Node.js on the backend; React or similar on the frontend is a plus)
- Hands-on Gen-AI experience - youve shipped features built on LLM APIs (Anthropic, OpenAI, Gemini, or similar), not just experimented in notebooks
- Experience building AI agents - multi-step orchestration, tool/function calling, structured outputs, and handling the messiness of non-deterministic systems




- Experience with RAG - embeddings, vector databases (pgvector, Pinecone, or similar), chunking strategies, and retrieval quality tuning
- Strong communication skills - you can explain technical decisions to non-engineers, write clear documentation, and collaborate effectively across teams
- Product mindset - you care about what authors and learners experience, not just what the model outputs
- Ownership and self-direction - you can take an ambiguous problem, scope it, and drive it to a shipped outcome

Nice-to-Have

- Experience with agent frameworks (LangChain/LangGraph, Vercel AI SDK, Claude Agent SDK, or hand-rolled orchestration)
- Experience building LLM evals or quality measurement pipelines
- Familiarity with prompt engineering at scale - versioning, templating, A/B testing prompts
- Experience with streaming UX (SSE/WebSockets) for real-time AI interactions
- Exposure to speech/multi-modal AI (TTS, STT, avatar/video generation)
- Experience with cloud platforms (AWS, GCP, or Azure), Docker , and CI/CD
- Background in ed-tech, learning platforms, or other content-generation products

Required Skills

- ReactJS
- JavaScript
- Generative AI
- Full stack

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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