Gen AI Developer Specialist

HEXAWARE • United States,

3h

About The Position

This role focuses on leveraging Generative AI technologies to develop and implement solutions. The specialist will be responsible for converting business requirements into functional code using AI-powered tools, managing cloud infrastructure, and implementing advanced AI concepts like prompt engineering and agentic workflows.

Requirements

• 3-6+ years in ML/AI with strong Python hands-on programming (4-5 years).
• Extensive knowledge and expertise of leveraging GitHub Copilot/Claude Code/Amazon Q Developer to build coding prompts & contexts to convert business stories into quality working code & generate PRs.
• > 1 year of GenAI hands on experience including working with different LLMs & Chatbots.
• 4+ years of AWS cloud experience including EKS, ECS, S3, Lambda, Kafka event streaming, Amazon Bedrock/Claude/OpenAI Redis Cache, NoSQL/SQL DB development.
• Solid knowledge of Prompt engineering/context engineering, Long term vs short term memory, Token management, RAG & Vectorization, Cache management, different frameworks of Agentic AI.

Nice To Haves

• Hands-on development of building MCPs & building autonomous agentic workflows.
• Agentic AI Development including Multi-agent systems for autonomous workflows.
• A/B testing of AI features including validation of agentic real time decisioning.
• Auto Lending/Auto-finance background & experience.
• Hands-on RAG implementation including vectorDBs.

Responsibilities

• Leverage GitHub Copilot/Claude Code/Amazon Q Developer to build coding prompts and contexts.
• Convert business stories into quality working code and generate Pull Requests.
• Gain hands-on experience with Generative AI, including working with different LLMs and Chatbots.
• Develop and manage cloud infrastructure using AWS services such as EKS, ECS, S3, Lambda, Kafka event streaming, Amazon Bedrock/Claude/OpenAI, Redis Cache, and NoSQL/SQL databases.
• Implement prompt engineering, context engineering, long-term vs. short-term memory, token management, RAG, vectorization, and cache management.
• Develop agentic AI frameworks and autonomous agentic workflows.
• Conduct A/B testing of AI features and validate real-time decisioning of agents.
• Implement RAG, including vector databases.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed