The Role
Build and ship production GenAI features, including agentic workflows, LLM-backed TypeScript services, multi-step AI agents, RAG systems, evaluations, and feedback loops. Collaborate with product and learning teams, document technical decisions, monitor quality and performance, and stay current with models, agent frameworks, and retrieval techniques.
Summary Generated by Built In
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 KNOLSKAPE's products
- 2+ years of professional software engineering experience, with strong proficiency in JavaScript/TypeScript (Node.js on the backend; React or similar on the frontend is a plus)
- Hands-on Gen-AI experience - you've 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
- 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
Skills Required
- 2+ years of professional software engineering experience
- Strong proficiency in JavaScript or TypeScript
- Node.js backend experience
- Hands-on experience shipping features using LLM APIs such as Anthropic, OpenAI, or Gemini
- Experience building AI agents with multi-step orchestration, tool or function calling, structured outputs, and non-deterministic system handling
- Experience with RAG, embeddings, vector databases, chunking strategies, and retrieval quality tuning
- Strong communication and documentation skills
- Product mindset focused on author and learner experiences
- Ownership and self-direction in driving ambiguous problems to completion
- Experience with agent frameworks such as LangChain, LangGraph, Vercel AI SDK, or Claude Agent SDK
- Experience building LLM evaluations or quality measurement pipelines
- Familiarity with prompt engineering at scale
- Experience with streaming user experiences using SSE or WebSockets
- Exposure to speech or multimodal AI, including TTS, STT, avatar, or video generation
- Experience with AWS, GCP, or Azure
- Experience with Docker and CI/CD
- Background in ed-tech, learning platforms, or content-generation products
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The Company
What We Do
KNOLSKAPE is a global HR-technology and experiential-learning company that helps organizations build workforce and leadership readiness across the employee lifecycle. Its platform combines immersive simulations, AI roleplays, gamified assessments, coaching, talent intelligence, analytics, and personalized learning experiences. Through its 4E framework—Evaluate, Educate, Experience, and Enable—it helps enterprises identify skill gaps, develop capabilities, practice in context, and reinforce learning on the job for measurable performance outcomes.
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