AI Engineer - Core
Builds production-grade AI systems including agent architectures, evaluation pipelines, and workflows for enterprise demand intelligence platform. Owns end-to-end from prototype to deployment, focusing on accuracy, latency, and cost tradeoffs in ambiguous startup environment.
About the job
Responsibilities
- Design, build, and maintain AI-driven features and pipelines that serve enterprise customers at scale
- Architect and implement agent-based workflows using LangChain, LangGraph, or equivalent orchestration frameworks
- Own systems end-to-end — from experimentation through production deployment and monitoring
- Build and improve evaluation pipelines to measure, validate, and iterate on AI system performance
- Collaborate closely with the founding team and cross-functional partners — communicating tradeoffs, progress, and technical decisions with clarity
- Make pragmatic engineering decisions under ambiguity — ship, learn, iterate
- Shape the technical direction of the AI stack as the company scales
Requirements
- Strong software engineer with clean, testable, production-ready code
- Real experience with LangChain, LangGraph, or equivalent agent/orchestration frameworks (built with them, hit limits, worked around them)
- Communicate with clarity and conviction (explain to non-technical founders, debate with senior engineers)
- Take ownership, thrive in ambiguity, move at startup speed
Nice-to-Haves
- Experience building evals pipelines — designing metrics, running systematic evaluations
- Backend software engineering experience — building APIs, services, data infrastructure, production systems
- Exposure to retrieval-augmented generation (RAG), vector databases, or LLM-powered search and recommendation systems
- Experience at early-stage startups or high-growth environments
Skills
LangChain, LangGraph, RAG, Vector Databases, LLMs, Agent Workflows, Evaluation Pipelines, Backend Apis, Data Infrastructure
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