Lead AI Engineer creating AI - powered solutions with Python and machine learning frameworks. Collaborate with data scientists and engineers to optimize innovative application development.
About the role
- Applied AI Engineer for Spartan, building production features with elite startup founders. Designing prompt templates, memory systems, and integrations in AI-driven solutions.
Responsibilities
- Design clear prompt templates and role scaffolds (System/User/Assistant).
- Keep chats relevant with windowing/summarization and retrieval-backed long-term memory; basic tenant/privacy scoping.
- Chunk/clean docs, embed into a vector store, run hybrid retrieval (BM25 + dense), and return answers with citations.
- Favor evidence, cite sources, and abstain when unsure.
- Implement Plan → Act → Observe → Iterate; call APIs/DBs via typed tool contracts.
Requirements
- Fluent in English — you’ll talk directly with US startup founders.
- 1+ years building production features (AI, search, or backend).
- We’re language-agnostic.
- Solid grasp of LLM fundamentals : chat vs completion, roles, tokens/context, structured prompts.
- Hands-on with vector retrieval concepts (BM25, embeddings, HNSW/IVF) and basic grounding (citations/abstention).
- Comfortable integrating external/internal tools via function-calling or typed contracts.
- Strong CS fundamentals and a builder’s mindset — you own problems end-to-end.
- Nice to have: multi-agent patterns, safety/PII pipelines, streaming UX (SSE/WebSocket), multimodal.
Benefits
- Competitive salary
- Unlimited PTO + public holidays
- Premium healthcare insurance
- Sports coverage (Strava integration)
- Hybrid working style
- Annual company trip + monthly team parties
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
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