GenAI Developer

Hexaware Technologies; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Hexaware Technologies in Bengaluru seeks an experienced AI/ML developer to build high-quality GenAI applications and scalable software solutions. You will design testable code and contribute across teams to deliver robust AI features.

The ideal candidate has strong Python skills, hands-on experience with AI frameworks, familiarity with LLMs and prompt engineering, and will participate in a fast-paced, Agile development environment.

Qualifications

• 4–9 years of hands-on AI/ML or GenAI software development.
• Proficient in Python and AI/ML frameworks.
• Familiar with LLMs, transformer models, and prompt engineering.

Responsibilities

• developing high-quality applications and scalable code.
• designing/testable code with SDLC/Agile practices.
• review/validate/secure AI-generated code and integrate external tools/APIs.

Skills

Python programming

AI/ML concepts

Generative AI knowledge

LLMs & transformers

REST API development

Prompt engineering

Agile development

Code review & security

SDLC understanding

Tools

LangChain

LangGraph

LlamaIndex

GPT/Azure OpenAI

FastAPI

PyTorch

TensorFlow

Scikit-learn

Vector databases

Job description

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.

Responsibilities

• 4–9 years of hands-on experience in AI/ML, Generative AI, or related software development.
• Strong programming experience in Python and familiarity with AI/ML development frameworks and libraries.
• Strong understanding of Generative AI concepts, Large Language Models (LLMs), and Transformer-based architectures.
• Hands-on experience with LLMs such as GPT, Azure Open AI or similar open source/commercial models.
• Experience building GenAI applications using frameworks such as LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Strong understanding of Agentic AI concepts, including AI agents, tool calling, planning, reasoning, memory, and multi-agent workflows.
• Experience developing AI agents and integrating external tools, APIs, databases, and enterprise services.
• Experience with Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and document-based question answering.
• Understanding of prompt engineering, prompt optimization, structured outputs, function/tool calling, and context management.
• Experience with REST API development using FastAPI or similar frameworks.
• Experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar frameworks.
• Understanding of machine learning concepts including supervised and unsupervised learning, model evaluation, feature engineering, and model optimization.
• Understanding of LLM evaluation, hallucination detection, response quality, and AI application performance optimization.
• Experience in prompt engineering with AI-powered developer tools such as GitHub Copilot, Cursor AI, Claude Code, Windsurf, or similar coding assistants.
• Experience with AI-assisted development and Vibe Coding practices.
• Ability to review, validate, optimize, and secure AI-generated code.
• Good understanding of SDLC and Agile development methodologies.