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Firstsource - Generative AI Engineer

Firstsource Solutions
7 - 9 Years
Multiple Locations

Posted on: 06/11/2026

Job Description

Role : Generative AI Engineer


About the Role :


We are looking for an experienced Generative AI Engineer with 78+ years of software development experience and strong expertise in Python, Machine Learning, Cloud Technologies, and Generative AI. The ideal candidate should have hands-on experience building and deploying AI-powered applications, working with Large Language Models (LLMs), RAG architectures, AI Agents, and scalable enterprise solutions.


Key Responsibilities & Technical Skills :


- Strong hands-on experience in Python development.


- Expertise in Generative AI, Large Language Models (LLMs), and Prompt Engineering.


- Hands-on experience with Retrieval-Augmented Generation (RAG) and AI Agent / Agentic AI development.


- Experience with frameworks such as LangChain, LangGraph, LlamaIndex, and Semantic Kernel.


- Strong understanding of Machine Learning concepts and frameworks such as Scikit-learn, TensorFlow, PyTorch, and XGBoost.


- Experience with FastAPI, Flask, or Django for developing AI-powered backend applications.


- Hands-on experience with AWS and/or Azure (Mandatory).


- Experience working with REST APIs, Microservices, Docker, and Kubernetes.


- Knowledge of Vector Databases and embedding models.


- Experience with relational and NoSQL databases.


- Understanding of CI/CD, DevOps, MLOps, and Infrastructure as Code (IaC).


- Strong knowledge of OOP, SOLID principles, Design Patterns, and Domain-Driven Design (DDD).


- Experience developing scalable, distributed, and enterprise-grade AI applications.


- Familiarity with AI-assisted development tools such as GitHub Copilot, Gemini, and Cursor.


Good to Have :


- Experience with enterprise AI platforms and LLM orchestration.


- Knowledge of LLM fine-tuning, model evaluation, and optimization.


- Experience with multi-agent systems and advanced Agentic AI workflows.


- Understanding of AI security, governance, and responsible AI practices.

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