Walk-in | GEN AI Specialist

Hexaware Technologies; Bengaluru; Hybrid; INR 900,000 - 1,200,000; Full time

Job summary

Hexaware Technologies in Bengaluru seeks a senior GenAI/AI software engineer with deep hands-on experience in AI/ML systems and Python programming. You will build GenAI applications, integrate tools and APIs, and design robust AI agents with planning, reasoning, and memory.

You will work with RAG, embeddings, and vector databases to deliver high-quality tooling and services. The role emphasizes prompt engineering, context management, and REST API development using FastAPI or similar, within an

Qualifications

• Hands-on GenAI development and AI/ML systems.
• Strong Python programming and ML framework knowledge.
• Experience with LLMs, agents, and architecture concepts.

Responsibilities

• Role will drive GenAI applications and integrate external tools and APIs.
• Develop AI agents with tool calling, planning, and memory features.
• Work with RAG, embeddings, vector databases, and semantic search.
• Design prompts, optimize outputs, and manage context for reliability.
• Build REST APIs using FastAPI or similar frameworks.
• Collaborate in SDLC and Agile environments.

Skills

Python

GenAI

LLMs

LangChain

LlamaIndex

PyTorch

TensorFlow

REST API

Prompt engineering

SDLC & Agile

Tools

LangGraph

LlamaIndex

GitHub Copilot

Cursor AI

Job description

Role & responsibilities

• 37 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 architecture.
• 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.