Role overview
We are seeking a Senior AI Engineer with a strong foundation in software engineering and GenAI solution development. The ideal candidate combines advanced Python expertise, DevOps fluency, and hands-on experience with LLM-based agentic frameworks, building robust, production-grade AI systems.
What you'll work on
- Design and implement AI agentic solutions using frameworks such as LangChain, LangGraph, LangFlow, AutoGen, or similar.
- Customize and optimize LLM-powered architectures for scalability, reliability, and real-world applicability.
- Evaluate new GenAI frameworks, tools, and methods to continuously improve solution performance and developer productivity.
- Integrate external APIs, vector databases, and retrieval-augmented generation (RAG) pipelines into production-ready systems.
What we're looking for
- Experience with vector databases (FAISS, Pinecone, Weaviate, Chroma).
- Familiarity with RAG pipelines, prompt engineering, or model orchestration.
- Exposure to MLOps, AI evaluation pipelines, and cloud-based AI deployments.
- Understanding of security, authentication, and data privacy best practices in AI systems.
Tags & focus areas
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