AI Engineer

About the role

We are seeking a skilled and experienced AI Engineer to join our team, designing, developing, and deploying production‑grade AI systems and intelligent agent pipelines.

Key responsibilities

• Design and deploy production‑ready Python services powering AI capabilities, leveraging FastAPI for robust API development.
• Architect and fine‑tune end‑to‑end agent workflows supporting chat, search, and retrieval use cases.
• Develop intelligent agents using LangChain, LangGraph, and LangSmith, encompassing prompt engineering, integration, and comprehensive testing.
• Integrate and optimise vector databases (Qdrant, Milvus, etc.) for embeddings management, high‑speed lookups, and hybrid search functionality.
• Continuously evaluate and monitor agent performance to ensure reliability, accuracy, and consistency in production environments.
• Optimise agent systems for reduced latency, cost efficiency, and horizontal scalability.

Required profile

• 3+ years of total software engineering experience, with a strong foundation in backend development using Python.
• 1–2+ years of hands‑on experience deploying and maintaining ML/AI systems in production environments.
• Demonstrated proficiency in Python and software engineering best practices, focusing on clean, maintainable, production‑quality code.
• Solid experience with NLP, Retrieval Augmented Generation (RAG), embeddings, and vector databases such as Qdrant and Milvus.
• Deep expertise in LangChain and/or LlamaIndex for building agentic AI systems.
• Strong experience with LangSmith, including evaluation benchmarking and tracing.
• Proven experience in prompt engineering and systematic agent testing methodologies.
• Strong understanding of LLM inference pipelines on both local infrastructure and cloud platforms.
• Proficiency with Docker and cloud platforms (AWS, GCP, or Azure).
• Ability to design clean, well‑documented APIs and integrate seamlessly with existing backend systems using a microservices architecture.

Required skills

• Python
• FastAPI
• LangChain
• LangGraph
• LangSmith
• Qdrant
• Milvus
• NLP
• Retrieval Augmented Generation (RAG)
• Embeddings
• Vector databases
• LlamaIndex
• Prompt engineering
• LLM inference pipelines
• Docker
• AWS
• GCP
• Azure
• Microservices architecture
• API design