Role & responsibilities

GenAI Developer

Role Summary

Design, develop, deploy, and maintain Generative AI applications on the GENIUS platform using AWS Bedrock, agent frameworks, knowledge bases, vector databases, tool integrations, and cloud-native services.

Key Responsibilities

- Develop AI Agents using AWS Bedrock and agent orchestration frameworks such as LangGraph, CrewAI, or similar.
- Design and implement Retrieval-Augmented Generation (RAG) solutions using vector databases (OpenSearch, LanceDB) and knowledge bases.
- Build and integrate custom tools, APIs, MCP connectors, and external services for AI agents.
- Develop document ingestion pipelines including parsing, OCR, chunking, embeddings, and indexing workflows.
- Integrate AWS Bedrock Guardrails and content safety controls into applications.
- Implement Infrastructure as Code using AWS CDK and JSON-based configurations.




- Optimize prompts, model performance, latency, and operational costs.
- Collaborate with product, architecture, and support teams for AI solution delivery.
- Monitor application logs, usage metrics, and performance through CloudWatch.

Required Skills

GenAI

- LLM concepts, Prompt Engineering

- RAG Architecture

- Agentic AI

- Vector Databases

- Embeddings and Semantic Search

- Model Evaluation and Guardrails

AWS

- Bedrock

- Lambda

- Step Functions

- DynamoDB
- S3

- API Gateway

- CloudWatch

- IAM

- Secrets Manager

- AWS CDK

Development

- Python (Mandatory)

- REST APIs

- Git/GitHub

- JSON/YAML

- CI/CD pipelines

📌 Python With AWS and GEN AI (Mumbai)
🏢 Capgemini
📍 Mumbai