Job title: Senior AI Engineer (AWS Bedrock, CDK & Agentic AI)
Location: Hyderabad / BLR
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:
- 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.
Job Type: Full-time
Pay: ₹2,000,000.00 - ₹3,000,000.00 per year
Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad District)
