Senior ML Engineer

We are hiring a Senior ML Engineer to build an enterprise-grade platform on AWS that will support hundreds of production AI agents.
This is not a traditional ML model-development role. The focus is on building the shared platform services required to run agentic applications reliably, securely and at scale.
Responsibilities:
Design and build Python-based platform services and APIs.
Implement agent runtime, workflow, session and tool-execution capabilities.
Integrate Amazon Bedrock, Bedrock AgentCore and enterprise systems.
Build secure MCP servers and tool gateways.
Develop evaluation, tracing, monitoring and cost-control capabilities.
Create deployment patterns using Terraform, containers and AWS managed services.
Improve reliability, scalability, security and developer experience for agent teams.
Requirements:
5+ years in backend, ML platform, MLOps or distributed-systems engineering.
Strong Python, FastAPI, async programming and API design.
Experience building agentic systems, LLM applications, RAG or tool-calling workflows.
Strong AWS experience, including Bedrock, Lambda, ECS/EKS, API Gateway, S3 DynamoDB, OpenSearch, IAM and CloudWatch.
Experience with Docker, CI/CD and infrastructure as code.
Good understanding of event-driven systems, orchestration, retries and state management.
Good to Have:
MLOps and model-serving experience.
Exposure to Terraform.
MCP and Bedrock AgentCore.
Step Functions, Temporal or similar workflow engines.
Kubernetes and platform engineering.
OpenTelemetry, evaluation frameworks and LLM observability.
Knowledge graphs, vector databases and enterprise data platforms.

Experience
5-9 yrs