Company Name

Capgemini Technology Services India Limited ( Bangalore )

Job Description

• Your Role
  • Integrate LLMs (Llama, OpenAI, Claude, Mistral, Gemini) and embedding models into applications.
  • Implement agentic workflows using LangGraph, AgentCore, Google SDK, applying patterns such as Planner-Executor, Reflection Loops, and Multi-Agent Orchestration.
  • Build and optimize data ingestion and retrieval pipelines including preprocessing, chunking, enrichment, embeddings, and vector indexing.
  • Integrate coarse-grained controls (data masking, compliance filters, enterprise-wide security checks).
  • Prototype in Jupyter Notebooks and transition solutions to production.
  • Implement LLMOps practices:
  • Instrument pipelines for metrics (latency, cost, hallucination rate, accuracy, compliance violations).
  • Build dashboards, alerts, and feedback loops.
  • Automate evaluations (A/B testing, prompt regression checks, continuous accuracy testing).
  • Collaborate with Architect to integrate knowledge graphs where applicable.
  • Deploy and maintain solutions on AWS, GCP, or Azure leveraging GPU/compute environments.
  Your Profile
  • Strong programming in Python working knowledge of JavaScript.
  • Experience developing on cloud platforms (AWS, GCP, Azure) with GPU-backed compute.
  • Proficiency with Jupyter Notebooks for experimentation.
  • Hands-on with LLMs, embeddings, and vector search pipelines.
  • Experience implementing agentic workflows with security guardrails.
  • Familiarity with knowledge graphs is a plus.
  • Proven experience in LLMOps implementation (logging, monitoring, evaluation pipelines, observability tools).
  • Strong debugging, problem-solving, and execution focus.

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