Generative AI Engineer – MCP & AWS

Experience: 4–6 years

Location: Remote

Employment: Full time | Welkin Soft Tech Pvt Ltd

We’re hiring a Generative AI Engineer with solid, hands-on expertise in Model Context Protocol (MCP) to build secure, enterprise-grade AI agents and integrations on AWS.

Key Responsibilities
Build and deploy MCP servers, clients, tools, resources and prompts.
Connect AI agents with enterprise APIs, databases and business systems using MCP.
Develop agentic AI workflows using LangChain and LangGraph.
Build RAG pipelines and LLM-powered Python applications.
Deploy and monitor AI workloads on AWS.
Create and manage automated CI/CD pipelines.
Maintain source code and releases using GitHub or GitLab.

Mandatory Skills
4–6 years of software/AI engineering experience.
Strong hands-on experience with MCP architecture and development.
Strong Python programming skills.
Experience with LangChain, LangGraph,



AI agents and tool calling.
Knowledge of RAG, embeddings and vector databases.
Experience with Amazon Bedrock and AWS services such as Lambda, ECS/EKS, EC2, S3, API Gateway, IAM and CloudWatch.
CI/CD experience using GitHub Actions, GitLab CI/CD or AWS CodePipeline.
Proficiency in Git, GitHub or GitLab.
Experience with REST APIs, microservices and Docker.
Excellent written and verbal communication skills.

Valuable to Have

Terraform/AWS CDK, Bedrock Agents and Knowledge Bases, OpenSearch/pgvector, LLMOps, model evaluation and observability.

Important: MCP production level experience is a mandatory requirement. Candidates should be able to demonstrate an MCP server, client, tool or enterprise integration they have built.

📌 Generative Ai Engineer – Mcp & Aws Bengaluru
🏢 Welkin Soft Tech
📍 Bengaluru