AI Agent Architect & Engineer
Company: Betwixt
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-05-10
About this role
Read this first
This is a founding-team role. Compensation is equity-only today and shifts to base + equity the moment we close our first capital event — either our seed round or our first signed enterprise contract. Both are weeks away, not months. We have signed pipeline with multiple customers ready to go, the product is near-complete, and we're hiring the technical core that will own the AI side of the platform.
If equity-only doesn't work for you right now, that's fair — apply when cash is on the table. If you've done founding-engineer work before, know what early equity is worth, and want to own a meaningful slice of something with real customer demand: keep reading.
About the role
You'll be the technical owner of the AI agent and automation infrastructure at Betwixt. Architect retrieval pipelines, design and ship multi-step agents, and build the workflow plumbing that lets us deliver LLM-powered features that actually work in production — not demoware.
This is end to end: data ingestion and chunking, embedding strategy and vector storage, retrieval and reranking, agent design, tool wiring, evaluation, observability, cost and latency tuning, and the deployment infrastructure that keeps everything reliable. You won't be writing prototypes for someone else to "productionize" — you are the person who productionizes.
What you'll do
• Architect and own end-to-end RAG pipelines: ingestion, chunking strategy, embeddings, vector storage, retrieval, reranking, and grounded answer synthesis.
• Design multi-step agents using tool use, function calling, and structured output — and decide when an agent is the right answer vs. a deterministic workflow.
• Build internal automations and pipelines that connect LLMs to the rest of our systems (databases, APIs, queues, schedulers, third-party SaaS).
• Choose and integrate the right tools across the stack: LLM providers (Anthropic, OpenAI, open-weights), vector DBs (Pinecone, Weaviate, Qdrant, pgvector), orchestration f...