We’re hiring a Generative AI Engineer with strong, 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.
Good 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.