Gen AI Developer Specialist

HEXAWARE•United States,

About The Position

We are seeking a skilled Gen AI Developer Specialist to design, develop, and maintain AI-powered enterprise applications. This role involves leveraging cutting-edge AI tools and frameworks to convert business requirements into production-ready code. You will architect and develop AI-enabled solutions using LLMs, GenAI services, and Agentic AI frameworks, build scalable backend APIs and microservices, and implement advanced techniques like Retrieval Augmented Generation (RAG) and Prompt Engineering. The position also requires developing conversational AI applications, autonomous AI agents, and managing memory strategies for AI systems. Collaboration with cross-functional teams and participation in Agile development, code reviews, and CI/CD processes are essential.

Requirements

Proficiency in React, TypeScript, JavaScript, and Python.
Experience with Microservices Architecture.
Experience with AI coding assistants (e.g., GitHub Copilot, Claude Code, Amazon Q Developer).
Experience architecting and developing AI-enabled solutions using LLMs, GenAI services, and Agentic AI frameworks.
Experience building scalable backend APIs and microservices.
Experience designing and implementing Retrieval Augmented Generation (RAG) solutions.
Experience with vector databases and enterprise knowledge repositories.
Experience developing conversational AI applications, copilots, virtual assistants, and intelligent workflow automation solutions.
Proficiency in Prompt Engineering and Context Engineering techniques.
Experience building autonomous and semi-autonomous AI agents.
Experience with AI memory management strategies (Short-term Memory, Long-term Memory, Context Windows, Token Optimization).
Experience integrating AI services using platforms like Amazon Bedrock, Claude, OpenAI.
Experience developing event-driven architectures leveraging Kafka and cloud-native messaging services.
Experience collaborating with Product Owners, Architects, Business Analysts, and Development teams.
Experience implementing AI governance, observability, monitoring, and performance optimization practices.
Experience in Agile development, code reviews, CI/CD automation, and DevSecOps processes.

Responsibilities

Design, develop, and maintain AI-powered enterprise applications using React, TypeScript, JavaScript, Python, and Microservices Architecture.
Leverage GitHub Copilot, Claude Code, Amazon Q Developer, and other AI coding assistants to convert business requirements and user stories into production-ready code and pull requests.
Architect and develop AI-enabled solutions using LLMs, GenAI services, and Agentic AI frameworks.
Build scalable backend APIs and microservices integrating AI services with enterprise systems.
Design and implement Retrieval Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.
Develop conversational AI applications, copilots, virtual assistants, and intelligent workflow automation solutions.
Implement Prompt Engineering and Context Engineering techniques to improve AI output quality, consistency, and performance.
Build autonomous and semi-autonomous AI agents capable of orchestrating multi-step business processes.
Design memory management strategies, including: Short-term Memory, Long-term Memory, Context Windows, Token Optimization.
Integrate AI services using: Amazon Bedrock, Claude, OpenAI, Other Foundation Model Platforms.
Develop event-driven architectures leveraging Kafka and cloud-native messaging services.
Collaborate with Product Owners, Architects, Business Analysts, and Development teams to identify AI automation opportunities.
Implement AI governance, observability, monitoring, and performance optimization practices.
Participate in Agile development, code reviews, CI/CD automation, and DevSecOps processes.