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

Location : Hyderabad

Experience : 7 years

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.

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 :

1. Tool calling

2. Workflow orchestration

3. Multi-step agents

4. 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 :

1. Langchain

2. Lang Graph

3. Strands

4. 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.