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Location
Hybrid (Mumbai, India)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 16, 2026. Symphoni HR scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Symphoni HR is an executive search and specialist recruitment firm headquartered in Malad West, Mumbai, handling board, CEO and CXO appointments alongside technology hiring, recruitment process outsourcing, project hiring and fractional leadership services. Established in 2003, it reports more than 100,000 candidates hired and over 5,000 C-suite and senior mandates for 300+ clients across practices such as global capability centres, financial services, technology, industrial and healthcare. The roles on its board are client vacancies, mostly in Mumbai, Bengaluru and Pune, for Java and C++ developers, data engineers, DevOps and GenAI engineers, business analysts and project managers.

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.

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.

Responsibilities

  • 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.

Requirements

  • 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.

Skills

Python, LLM frameworks, RAG systems, LangChain, LangGraph, Vector databases, Prompt engineering, FastAPI, Flask, JavaScript, TypeScript, Langsmith, LlamaIndex, Weaviate, Chroma, FAISS

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