AI Developer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a prominent global leader in the computer software industry, known for driving digital transformation through innovative technology solutions. They foster a collaborative and forward-thinking culture that empowers professionals to work on cutting-edge projects. With a focus on scalability and excellence, they provide an environment where technical expertise is highly valued and rewarded.
About the role.
We are seeking a skilled AI Developer to join our client's team in Mumbai. In this hybrid role, you will design and deploy production-ready AI applications, focusing on advanced RAG systems and complex reasoning workflows. You will collaborate with cross-functional teams to integrate sophisticated AI solutions into existing product ecosystems.
What you will do.
- Design and develop production-ready AI applications using Python and modern LLM frameworks.
- Implement and optimize RAG systems to enhance LLM capabilities with external knowledge sources.
- Build complex reasoning chains and agent workflows using LangChain and LangGraph.
- Create and maintain vector databases for efficient information retrieval.
- Develop custom tools and functions to extend LLM capabilities.
- Optimize prompt engineering strategies to improve model performance and accuracy.
- Implement evaluation frameworks to measure and improve system performance.
- Collaborate with cross-functional teams to integrate AI solutions into existing products.
- Document code, architecture, and processes to facilitate knowledge sharing across the team.
What you bring.
- Strong proficiency in Python is required, with additional knowledge of JavaScript or TypeScript being highly beneficial.
- Hands-on experience with LLM frameworks including LangChain, LangGraph, Langsmith, and LlamaIndex.
- Proven experience working with vector databases such as Weaviate, Chroma, or FAISS.
- Solid understanding of API development using FastAPI or Flask.
- Deep knowledge of prompt engineering techniques and best practices.
- Familiarity with embedding models, semantic search, and information retrieval concepts.
- Experience with streaming architectures for real-time AI applications.
- Understanding of AI services on major cloud platforms.
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