AWS Bedrock AI Development Engineer

Location: Bengaluru, INDIA

Role Type: Full-Time

About the Role

We are hiring an AWS Bedrock AI Development Engineer in India to build and scale production-grade Generative AI and AI Agent solutions using Amazon Bedrock and the AWS cloud ecosystem. This role is highly hands-on and execution-focused. You will work on LLM-powered applications, document intelligence, RAG pipelines, and AI agents used by global enterprise customers, including regulated industries such as life sciences and healthcare.

You will collaborate with global product, architecture, and go-to-market teams and contribute directly to AI solutions that move from prototype to production rapidly.

Key Responsibilities

Generative AI & LLM Engineering

Design and implement Generative AI applications using Amazon Bedrock (Claude, Titan, Llama, etc.)
Build and optimize Retrieval-Augmented Generation (RAG) pipelines
Develop AI Agents for task automation, orchestration, and decision workflows
Engineer prompts, system instructions, guardrails, and evaluation frameworks

Document & Knowledge Intelligence

Build pipelines for document ingestion, OCR, classification, metadata extraction, and summarization
Implement embedding generation and semantic search using vector databases
Develop confidence scoring, validation checks, and human-in-the-loop review mechanisms

AWS Cloud & Deployment

Design scalable architectures using:
AWS Bedrock | Lambda, ECS, EKS, EC2 | S3, DynamoDB, Aurora, OpenSearch | Step Functions, EventBridge, API Gateway
Deploy solutions using Infrastructure as Code (CDK / Terraform / CloudFormation)
Monitor performance, reliability, and cost efficiency of AI workloads

Security, Compliance & Quality

Implement IAM best practices, data isolation, and secure API access
Support enterprise security and compliance requirements (SOC 2, HIPAA, GxP – exposure preferred)
Build audit trails, traceability, and explainability for AI outputs
Implement automated evaluation for accuracy, hallucination risk, and drift

Collaboration & Delivery

Work closely with Product Managers, Architects, and UX teams across geographies
Participate in agile ceremonies and sprint-based delivery
Contribute reusable components, internal accelerators, and best practices
Support rapid PoCs and customer demos when required

Required Qualifications

Core Skills

3–7+ years of backend or platform engineering experience
Strong hands-on experience with Amazon Bedrock
Strong proficiency in Python (mandatory)
Experience building LLM-powered systems (RAG, chatbots, AI agents)
Experience with vector databases (OpenSearch, Pinecone, FAISS, Weaviate, etc.)
Solid understanding of REST APIs, microservices, and asynchronous workflows

AWS Experience

Strong experience with AWS services: Lambda, S3, DynamoDB, IAM, OpenSearch, CloudWatch
Experience deploying and supporting production workloads on AWS
Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)

Preferred Qualifications

Experience with Claude / Titan models on Bedrock
Familiarity with LangChain, LlamaIndex, or similar frameworks
Experience in Life Sciences, Healthcare, BFSI, or other regulated industries
Exposure to AI validation, governance, or responsible AI practices
Experience integrating AI services with enterprise platforms (Salesforce, Snowflake, ERP)

Education

Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related field

What We Offer

Work on global AI products used by enterprise customers
Opportunity to build AI Agents and GenAI solutions at scale
High ownership and fast learning in a product-led environment
Competitive India-market compensation
Flexible work model and growth into AI Architect / Tech Lead roles
Exposure to global customers, compliance standards, and advanced AI stacks

Ideal Candidate Profile

Strong execution mindset with the ability to deliver independently
Comfortable working with ambiguity and evolving AI patterns
Curious, fast learner who keeps up with GenAI advancements
Clear communicator who can collaborate with global teams

Why Join Us ?

Work on cutting-edge applied AI technologies.
Opportunity to build real-world AI agents used by global enterprises.
Fast-paced environment with room for rapid growth.
Be part of an AI Innovation Lab shaping the future of life sciences and enterprise AI.