AWS Bedrock AI Development Engineer

Cloudbyz, Inc.; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive India-market compensation

Flexible work model

Growth opportunities into AI Architect / Tech Lead roles

Job summary

A leading technology solutions provider is seeking an AWS Bedrock AI Development Engineer to build and scale production-grade Generative AI solutions. You will work on LLM-powered applications and collaborate with global teams to move AI solutions from prototype to production. The ideal candidate will have strong hands-on experience with Amazon Bedrock and a proficiency in Python, along with expertise in vector databases and REST APIs. Join us to innovate in a fast-paced environment with opportunities for growth.

Qualifications

• 3–7+ years of backend or platform engineering experience.
• Strong hands-on experience with Amazon Bedrock.
• Strong proficiency in Python (mandatory).

Responsibilities

• Design and implement Generative AI applications using Amazon Bedrock.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Develop AI Agents for task automation and orchestration.

Skills

Backend or platform engineering experience

Strong hands-on experience with Amazon Bedrock

Strong proficiency in Python

Experience with LLM-powered systems

Experience with vector databases

Solid understanding of REST APIs

Education

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

Tools

AWS Lambda

AWS S3

AWS DynamoDB

OpenSearch

CI/CD pipelines

Job description

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

• 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
• 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
• 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
• 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 customersOpportunity 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.

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