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Job Description
Data Engineer - AI/ML
Job Location: Mumbai
IIT / BITS candidates preferred
Responsibilities
- Design, develop, and maintain scalable data pipelines that support analytics, AI/ML, and Generative AI applications, including vector databases and Retrieval-Augmented Generation (RAG) solutions.
- Build and optimize data infrastructure and workflows for the ingestion, transformation, processing, and serving of structured and unstructured data for AI/ML use cases.
- Develop data solutions that enable AI applications, including data pipelines for embeddings, vector search, document processing, and RAG-based systems.
- Integrate data platforms with AI/ML services and models, ensuring data quality, reliability, scalability, and performance.
- Leverage AI-assisted software development tools to improve engineering productivity, code quality, testing, debugging, and documentation.
- Collaborate with Data Scientists, AI/ML Engineers, and Analytics teams to translate AI and business requirements into robust and production-ready data solutions.
- Establish appropriate practices for data quality, monitoring, governance, security, and performance across data and AI pipelines.
Preferred / Nice-to-have
- Experience building data engineering solutions for AI/ML or Generative AI applications.
- Hands-on experience with vector databases, embeddings, semantic search, and RAG architectures.
- Familiarity with LLM-based applications and the data pipelines required to support them.
- Experience working with unstructured data such as documents, text, or other content used in AI applications.
- Familiarity with AI-powered software development tools such as GitHub Copilot, Cursor, Claude Code, or similar tools.
- Understanding of modern AI/ML engineering practices, including model/data pipelines, evaluation, observability, and deployment workflows.
Agam was founded in 2016 with the vision to create a cutting edge differentiated analytical platform. The execution towards this vision continued with the development of pALM, Agam's proprietary asset and liability management (ALM) system. Offering the only end-to-end enterprise-wide risk and capital analytic solution, Agam empowers strategic decision makers towards their capital optimization goals. With a fully embedded dynamic strategic asset allocation (SAA) and enterprise risk management (ERM) infrastructure, pALM supports Agam's ability to offer one stop, turnkey insurance solutions.
More Info
Key Skills
embeddings
vector search
Generative AI
data pipelines
vector databases
data engineering solutions
AI-assisted software development tools
modern AI ML engineering practices
AI-powered software development tools
LLM-based applications
data quality monitoring
