AI Engineer(AWS Bedrock, CDK, Agent AI)

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.

Core Requirement: Candidates must have verifiable experience shipping AI services to production on AWS. Profiles lacking evidence of production deployments and operational ownership will not be considered.

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:

o Tool calling

o Workflow orchestration

o Multi-step agents

o 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:

o Langchain

o Lang Graph

o Strands

o 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.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,…