Senior Agentic AI Developers

Hucon Solutions; Kolkata District, Chennai, Mumbai; Vor Ort; INR 1.500.000 - 2.100.000; Vollzeit

Zusammenfassung

Hucon Solutions in India seeks an AI/ML Engineer to design and implement agentic AI solutions using AWS Bedrock and LangChain integrations. You will build serverless workflows, develop prompt strategies, and collaborate across teams to deliver scalable AI systems.

The role emphasizes hands-on coding with Python, Java Spring Boot, and data architectures, plus strong knowledge of LLMs, RAG, and multi-agent frameworks to sustain cutting-edge AI capabilities.

Qualifikationen

• Hands-on experience with AWS Bedrock, Python FastAPI, Kafka, Java Spring Boot, Snowflake, SQL.
• Strong knowledge of LLMs, RAG architecture, and multi-agent frameworks.

Aufgaben

• Design and implement agentic AI solutions using AWS Bedrock, including Agents, Knowledge Bases, and Guardrails.
• Build serverless architectures with AWS Lambda, Step Functions, and EventBridge for AI agent workflows.
• Develop prompt engineering strategies (chain-of-thought, tree-of-thought, React) for multi-step reasoning.
• Integrate LangChain or Bedrock AgentCore frameworks for orchestration.
• Implement RAG (Retrieval-Augmented Generation) workflows and knowledge bases.
• Collaborate with cross-functional teams to deliver scalable AI solutions.

Kenntnisse

AWS Bedrock

Python FastAPI

Kafka

Java Spring Boot

Snowflake

SQL

LLMs

RAG architecture

Multi-agent frameworks

Tools

Core Python

Cloud platforms

GraphQL

Jobbeschreibung

Desired Competencies

Must-Have

• Hands-on experience with AWS Bedrock, Python FastAPI, Kafka, Java Spring Boot, Snowflake, SQL.
• Strong knowledge of LLMs, RAG architecture, and multi-agent frameworks.

Good-to-Have

• Knowledge on Core Python
• Knowledge on Cloud platforms, GraphQL

Responsibility of / Expectations from the Role

• Design and implement agentic AI solutions using AWS Bedrock, including Agents, Knowledge Bases, and Guardrails.
• Build serverless architectures with AWS Lambda, Step Functions, and EventBridge for AI agent workflows.
• Develop prompt engineering strategies (chain-of-thought, tree-of-thought, React) for multi-step reasoning.
• Integrate LangChain or Bedrock AgentCore frameworks for orchestration.
• Implement RAG (Retrieval-Augmented Generation) workflows and knowledge bases.
• Collaborate with cross-functional teams to deliver scalable AI solutions.