AI Engineer - Azure.
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 leading global professional services firm in the accounting and finance sector, serving organizations across many industries worldwide. They are known for a strong focus on innovation, digital transformation, and delivering high-quality solutions at scale. The firm fosters a collaborative, learning-driven culture that values technical excellence and responsible use of emerging technology.
About the role.
We are seeking an experienced AI Engineer with Azure expertise to design, build, and deploy generative AI solutions from our Pune office. You will work on Retrieval-Augmented Generation (RAG) systems and Model Context Protocol (MCP) integrations, delivering production-grade AI applications on Microsoft Azure. The role is hybrid and suits a senior engineer who can work closely with product, data, and platform teams.
What you will do.
- Design and implement end-to-end RAG pipelines, including document ingestion, chunking, embedding, indexing, and retrieval.
- Build and integrate MCP servers and clients to connect LLM applications with enterprise tools, data sources, and APIs.
- Develop and deploy AI services on Azure, leveraging Azure OpenAI, Azure AI Search, and related Azure data and compute services.
- Evaluate and optimize model performance, latency, cost, and response quality through systematic testing and monitoring.
- Collaborate with product, data, and platform teams to translate business requirements into scalable AI solutions.
- Establish best practices for security, governance, and responsible AI within the solution lifecycle.
What you bring.
- 7 to 10 years of total software or data engineering experience, with recent hands-on work in AI/ML solutions.
- Strong proficiency in Python and experience building APIs and backend services.
- Practical experience with Microsoft Azure AI services, including Azure OpenAI and Azure AI Search.
- Proven experience designing and delivering RAG-based applications.
- Working knowledge of Model Context Protocol (MCP) or comparable tool-integration frameworks.
- Solid understanding of vector databases, embeddings, and prompt engineering techniques.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
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