POSITION SUMMARY :

The AI Engineer 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.

KEY ACCOUNTABILITIES/ KEY RESPONSIBILITIES :

- 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 behaviour, limitations, and best practices