AWS Engineer

About the role

You will own backend and cloud engineering for AI-enabled applications. This is a hands-on role

requiring deep understanding of Amazon Bedrock AgentCore and AWS Step Functions, together with

practical experience building reliable, secure and observable agentic applications and workflows.

What you will do

• Design and build production-grade agentic applications and workflows on AWS.

• Design, implement and maintain agent workflows using Amazon Bedrock AgentCore and AWS

Step Functions.

• Build integrations with external APIs, enterprise systems and cloud services, including robust

handling of authentication, failures, retries and asynchronous operations.

• Integrate LLMs, agents and tools into production workflows with appropriate guardrails,

observability and error handling.

• Design reliable agent pipelines involving tool calling, workflow orchestration, state management

and human-in-the-loop processes where required.

• Build serverless and container-based services using AWS services such as Lambda, API Gateway,

EventBridge, SQS and ECS/EKS.

• Implement infrastructure as code, CI/CD, monitoring and logging.

• Apply appropriate AWS security practices including IAM, secrets management, encryption and

audit logging.

• Work closely with clients and the internal engineering team to understand requirements, make

architectural decisions and deliver production solutions.

• Review code and architecture and provide technical guidance to other engineers.

Must have

• 5+ years of software engineering experience, with strong hands-on AWS experience.

• Deep understanding of Amazon Bedrock AgentCore and AWS Step Functions.

• Hands-on experience building agentic or AI applications, including LLM integration, tool calling,

agent workflows or similar systems.

• Strong Python experience. Node.js/TypeScript is also valuable.

• Strong understanding of REST APIs, event-driven architectures and distributed systems.

• Experience with MCP or other agent and tool integration frameworks.

• Experience with LLM evaluation, guardrails and agent observability.

• Hands-on experience with Docker and CI/CD.

ApexNeural Private Limited

• Good understanding of AWS networking, IAM and cloud security fundamentals.

• Ability to independently design, implement, troubleshoot and explain production systems.

• Clear written and spoken communication and ability to participate directly in client discussions.

Good to have

• Experience with Terraform or AWS CDK.

• Experience with healthcare, fintech, legal tech or other regulated environments.

• Experience integrating enterprise IT, security, infrastructure or ITSM platforms.

• AWS certification.