AI Engineer (AWS Bedrock,CDK ,Agentic AI)

Job title: AI Engineer (AWS Bedrock, CDK & Agentic AI)

Location: Hyderabad , Bangalore

Experience: 6-10 years exp

Role Summary

We are seeking an experienced AI Backend Engineer with a strong track record of building, deploying, and operating production-grade AI services on AWS. The ideal candidate must have demonstrable experience delivering customer-facing AI applications using Amazon Bedrock and agentic architectures, not merely proof-of-concepts or experimental projects.

The candidate will design, develop, and scale AI-powered backend services, agentic workflows, APIs, and cloud infrastructure while ensuring reliability, security, observability, and operational excellence.

Key Responsibilities

AI Platform & Agent Development

• Design, build, and maintain production-grade AI services leveraging Amazon Bedrock.
• Develop agentic workflows involving tool use, reasoning chains, orchestration, and multi-step task execution.
• Implement Retrieval-Augmented Generation (RAG), prompt orchestration, and AI workflow automation where required.
• Optimize AI application performance, latency, reliability, and cost.

Backend Engineering

• Develop scalable backend services using Python.
• Design and implement RESTful and event-driven APIs.
• Integrate AI services with enterprise systems, internal platforms, and external APIs.
• Build robust service architectures supporting high availability and fault tolerance.

AWS Cloud Engineering

• Define and manage infrastructure using AWS CDK.
• Deploy and operate AI workloads on AWS following cloud-native best practices.
• Implement CI/CD pipelines, monitoring, logging, security controls, and operational dashboards.
• Collaborate with DevOps and platform teams to ensure production readiness.

Architecture & Technical Leadership

• Participate in architecture reviews and technical design discussions.
• Drive engineering best practices, code quality, testing, and documentation.
• Mentor team members on cloud-native AI development and agentic system design.
• Contribute to technology selection and platform evolution.

Mandatory Skills & Experience

Must Have

• Strong proficiency in Python for backend and AI service development.
• Hands-on experience with AWS CDK for Infrastructure as Code.
• Proven production experience with Amazon Bedrock.
• AWS Lambda, AWS Step Functions, Amazon API Gateway
• TypeScript proficiency for AWS CDK and service development.

• Experience building and deploying agentic AI workflows involving:

• Tool calling
• Workflow orchestration
• Multi-step agents

• Autonomous task execution

• Strong experience designing and implementing REST APIs.
• Experience building event-driven architectures.
• Production experience deploying and operating services on AWS.

Preferred Skills

• Experience with agent frameworks such as:

• Langchain
• Lang Graph
• Strands

• Similar agent orchestration frameworks

• Experience with vector databases and RAG architectures.
• Experience with distributed systems and microservices.
• Strong understanding of software engineering fundamentals, testing, observability, and cloud security.

Desired Candidate Profile

• Demonstrated ownership of AI products from design through production deployment.
• Ability to discuss real-world production challenges, scaling strategies, monitoring, and operational learnings.
• Strong problem-solving and system design skills.
• Experience working in agile, cross-functional engineering teams.
• Excellent communication and stakeholder collaboration skills.

Evaluation Criteria

Candidates should be able to clearly demonstrate:

• Production AI services deployed on AWS.
• Amazon Bedrock implementations currently or previously serving users.
• Agentic workflow architecture and implementation experience.
• AWS CDK-based infrastructure deployments.
• API and backend system design expertise.
• Ownership of reliability, monitoring, and operational excellence in production environments.