Agentic AI Developer (AWS Bedrock)

We are seeking a highly skilled Agentic AI Developer with strong expertise in AWS Bedrock, LLMs, RAG Architectures, Multi-Agent Frameworks, Python FastAPI, Kafka, Java Spring Boot, Snowflake, and SQL. The ideal candidate will be responsible for designing, developing, and deploying enterprise-scale Agentic AI solutions using AWS Bedrock while building scalable and intelligent AI-driven workflows.

This role requires hands-on experience with Generative AI, autonomous AI agents, prompt engineering, knowledge bases, and cloud-native AI architectures.

Key Responsibilities

Agentic AI & Generative AI Development

• Design and implement Agentic AI solutions using AWS Bedrock.
  
• Develop intelligent AI agents using:
  
• AWS Bedrock Agents
• Knowledge Bases
• Guardrails
• Build autonomous AI workflows capable of reasoning, planning, and tool orchestration.
  
• Implement Retrieval-Augmented Generation (RAG) architectures for enterprise use cases.
  
• Develop multi-agent orchestration frameworks and AI-powered business workflows.
  

AI Engineering & Prompt Design

• Design advanced prompt engineering strategies including:
  
• Chain of Thought (CoT)
• Tree of Thought (ToT)
• ReAct Framework
• Optimize LLM interactions for accuracy, efficiency, and reliability.
  
• Implement AI evaluation and monitoring frameworks.
  

Backend Development

• Develop REST APIs and AI services using:
  
• Python
• FastAPI
• Java Spring Boot
• Build scalable backend services supporting AI agents and orchestration frameworks.
  
• Integrate AI services with enterprise applications and APIs.
  

Cloud & AWS Development

• Design and build serverless architectures using:
  
• AWS Bedrock
• AWS Lambda
• AWS Step Functions
• Amazon EventBridge
• Develop cloud-native AI solutions leveraging AWS services.
  
• Implement monitoring, scalability, and security best practices.
  

Data Integration & Orchestration

• Work with:
  
• Snowflake
• SQL Databases
• Kafka Event Streaming
• Build enterprise knowledge repositories and retrieval pipelines.
  
• Integrate vector databases and retrieval frameworks to support RAG implementations.
  

Collaboration & Delivery

• Collaborate with architects, product teams, data engineers, and stakeholders.
• Participate in Agile delivery cycles and sprint planning.
• Support design reviews, solution architecture discussions, and AI innovation initiatives.
• Deliver enterprise-grade AI solutions with focus on scalability, performance, and governance.

Required Skills

• Hands-on experience with:
  
• AWS Bedrock
• Agentic AI
• Generative AI
• LLMs
• Experience implementing:
  
• Retrieval-Augmented Generation (RAG)
• Multi-Agent Systems
• Knowledge Bases
• AI Agent Workflows
• Strong development expertise in:
  
• Python
• FastAPI
• Java
• Spring Boot
• Experience with:
  
• Kafka
• Snowflake
• SQL
• Strong understanding of AI orchestration frameworks.
  
• Experience building cloud-native applications on AWS.
  
• Familiarity with serverless architectures and event-driven systems.
  

Preferred Skills

• Core Python expertise.
• GraphQL.
• LangChain.
• Bedrock AgentCore.
• Vector Databases.
• AI Evaluation Frameworks.
• Prompt Engineering Techniques.
• MLOps and GenAI Governance.

Desired Candidate Profile

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Passion for AI innovation and emerging technologies.
• Experience working in Agile environments.
• Ability to develop scalable and production-ready AI solutions.