AI Engineer

AI Engineer

Responsibilities:

• Build and own backend features — design, implementation, testing, code review, and production monitoring.
• Work on our LLM integration layer: streaming AI responses, prompt engineering, structured output parsing, and response validation.
• Contribute to our RAG and semantic search architecture — hybrid vector search, caching strategies, and data ingestion pipelines.
• Build rich, interactive frontend experiences in React/TypeScript that render AI-generated content in real time.
• Improve our NL-to-SQL pipeline that translates natural-language questions into validated analytics queries.
• Participate in architecture discussions, technical design reviews, and cross-team collaborations.

Requirements:

• 2–4 years of experience building production backend services in any major language (Java, Python, Go, etc.).
• Working experience with TypeScript and React, or a strong willingness to work full-stack.
• Solid understanding of REST API design, distributed systems, and service-oriented architecture.
• Experience integrating LLMs into production systems — prompt design, streaming responses, or structured output handling.
• Experience with AWS services and containerized deployments (Docker, Kubernetes).
• Strong engineering fundamentals: you care about test coverage, code review quality, and observable, maintainable systems.

Extra dose of awesome if you have…

• Familiarity with vector databases or semantic search systems (Weaviate, Pinecone, pgvector, etc.).
• Experience with reactive or async programming patterns (WebFlux, SSE streaming, etc.).
• Exposure to analytics databases (ClickHouse, Snowflake, or similar).
• Familiarity with Redis for caching, session state, or pub/sub.
• Experience with monorepo tooling (Nx, Turborepo, etc.).
• Hands-on experience with prompt engineering, RAG architectures, or AI agent patterns