22 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and deploy Generative AI and LLM-based applications and intelligent assistants using Python.
- Build and optimize RAG pipelines using LangChain and/or LlamaIndex.
- Develop scalable Python and SQL data engineering and ETL pipelines for structured and unstructured data.
- Implement vector database solutions for embeddings, semantic search, document retrieval, and contextual information retrieval.
- Deploy and operationalize GenAI and LLM solutions on AWS, Azure, or GCP.
- Apply MLOps/LLMOps practices including monitoring, versioning, CI/CD, model lifecycle management, evaluation, scalability, and production support.
Requirements
- Strong hands-on experience with Python and SQL, software development, data processing, and API-based integrations.
- Proven experience with Generative AI, LLMs, RAG architectures, prompt engineering, embeddings, and LLM application development.
- Hands-on expertise with LangChain and/or LlamaIndex.
- Experience integrating LLMs with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or equivalent technologies.
- Strong understanding of data engineering, ETL, data pipelines, structured and unstructured data processing, and AWS, Azure, or GCP cloud services.
- Experience with MLOps/LLMOps, deployment, CI/CD, monitoring, evaluation, version control, scalability, security, and productionization of AI solutions.
Benefits
- Career paths, internal opportunities, and personalized career guidance from company leaders.
- Comprehensive wellness benefits including health checks, telemedicine, insurance top-ups, elder care, partner coverage, and new parent support through flexible work.
- Opportunities to work on cutting-edge technology and engineering projects with industry leaders and on societal and environmental challenges.
Tech Stack
Categories
AI ApplicationsData Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.