Senior GenAI Engineer

Experience: 6+ yrs of overall experience

Primary: Python, AWS/Azure (ECS, EC2, S3, API Gateway, Lambda), LLM (GPT/Claude/LLaMA/Bedrock), Agentic AI (LangChain/LangGraph/MCP), RAG, Vector DBs (FAISS/Weaviate/PineCone/OpenSearch)
Secondary: IaC (CloudFormation/CDK/Serverless/Terraform), Docker, CI/CD (Jenkins), Observability, Front End Exposure, SAP AI

Location: Bengaluru (Hybrid)

Shift (IST Hours): Afternoon Shift

Description:

We are seeking a hands-on Senior AI/ML Engineer to design and build enterprise-grade Agentic AI applications on AWS. The ideal candidate brings robust Python development experience, practical exposure to Large Language Models (LLMs), and proven hands-on experience building RAG pipelines and multi-agent workflows using frameworks such as LangChain/LangGraph or similar.

Key Responsibilities
Design and implement Agentic AI workflows using LLMs (OpenAI, Bedrock, or equivalent)
Develop Python-based backend services for model orchestration, tool/function calling, context management, and API exposure.




Build Retrieval-Augmented Generation (RAG) pipelines using vector databases Pinecone, FAISS, OpenSearch.
Design secure and scalable AI APIs using AWS Lambda and API Gateway
Deploy and manage AI workloads using AWS Bedrock and SageMaker
Implement CI/CD pipelines and Infrastructure as Code (CloudFormation / CDK / Serverless Framework)
Apply MLOps best practices model versioning, prompt versioning, monitoring, observability, and performance tracking
Ensure AI systems are reliable, resilient, secure (IAM, policies, encryption), and cost-optimised
Collaborate with product owners, enterprise application teams, and data engineers to integrate AI into business workflows
Contribute to AI use case evaluation and architecture design discussions.

Required Skills & Experience
6+ years of software engineering experience with solid Python expertise
Hands-on experience integrating LLM platforms OpenAI and/or AWS Bed

📌 Senior Genai Engineer Bengaluru (India)
🏢 Carnera Technologies
📍 India