
Will build, and scale Generative AI solutions powered by LLMs and agentic workflows in a fast paced environment. This role owns the end to end development of AI features-from prompt engineering and retrieval augmented generation (RAG) to autonomous agents deployed in production. The AI Engineer works closely with founders, product, and engineering teams to rapidly turn ideas into production ready GenAI solutions that deliver measurable business impact.
- Build and deploy Generative AI applications using LLMs, including chat, summarization, reasoning, and content generation
- Design and implement agentic AI systems with tool calling, planning, memory, and multi- step workflows
- Develop RAG pipelines using embeddings, vector databases, and retrieval strategies
- Own the full GenAI lifecycle: prompt engineering, fine- tuning, evaluation, deployment, and monitoring
- Optimize GenAI systems for accuracy, cost, latency, and scalability
- Collaborate with product and engineering teams to rapidly ship AI features
- Document system behavior, limitations, and best practices
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