Senior Generative AI & Full Stack Engineer

About the job

Job Location: Pune Location Flexibility: Primary Location Only Req Id: 4493 Posting Start Date: 12/12/25 Role: Senior Generative AI & Full Stack Engineer Experience: 5+ years Shifts: 8am- 5pm IST. Work Location: Pune 1. List of Skills Category Skills Strong Expertise: - Python Programming - Machine Learning & Deep Learning - Natural Language Processing (NLP) - Generative AI Solution Development - Full Stack Development (Frontend + Backend) - Model Fine-Tuning & Optimization - MLOps & CI/CD Pipelines - Data Science & Statistics Basic Proficiency: - Conversational AI (Chatbots, LangChain, AutoGen) - Data Engineering & Processing (Spark, Pandas, NumPy, PyTorch, TensorFlow) - Cloud AI Platforms (AWS, Azure) - API Development & Integration Knowledge Only: - Open-source AI contributions - Software Design Principles - AI Ethics & Bias Mitigation - Agile/Scrum Development Practices 2. Primary Skills Generative AI & Large Language Model (LLM) based Solution Development - Design, develop, and fine-tune cutting-edge generative AI models, including open-source LLMs, for real-world, scalable applications. Natural Language Processing (NLP) - Apply NLP techniques for tasks like text generation, summarization, translation, entity recognition, and sentiment analysis using frameworks like Hugging Face, spaCy, and OpenAI GPT. Full Stack Development - Design and implement scalable end-to-end applications integrating AI models using modern front-end (React, Angular, etc.) and back-end (FastAPI, Django, Node.js) technologies. Python Programming for AI & Web Applications - Leverage Python for both AI algorithm development and backend services, ensuring seamless integration between machine learning models and application logic. Machine Learning & Deep Learning - Apply supervised, unsupervised, and reinforcement learning techniques using libraries such as Scikit-learn, TensorFlow, and PyTorch. Model Fine-Tuning & Optimization - Customize pre-trained models with domain-specific data, improving accuracy and efficiency in inference workflows. ML Ops & Production-Ready AI Deployment - Build and manage robust ML Ops pipelines including Docker, Kubernetes, and CI/CD for continuous deployment, monitoring, and model management. 3. Secondary Skills Conversational AI & Chatbot Frameworks - Develop AI-powered virtual assistants using LangChain, AutoGen, or similar libraries to meet enterprise conversational requirements. Cloud AI Platform Integration - Deploy and scale applications using cloud platforms such as Azure, or AWS for secure, high-performance model hosting. Data Engineering & Preprocessing - Collaborate with data engineers to process and manage large datasets with tools like Apache Spark, Pandas, and SQL for training and evaluation. API Development & Integration - Build RESTful APIs to expose AI capabilities and enable seamless integration with business systems and UI components. AI Research, Innovation & Open-Source Contribution - Stay updated with the latest trends in generative AI and contribute to open-source AI projects to stay ahead in innovation and design. AI Ethics & Bias Mitigation - Awareness of ethical AI design and practices to ensure responsible AI deployments and fair model behaviour in production environments. Relocation Supported: No Visa Sponsorship Approved: No

Requirements

• Python Programming
• Machine Learning
• Deep Learning
• Natural Language Processing
• Generative AI
• Full Stack Development

Preferred Technologies

• Python Programming
• Machine Learning
• Deep Learning
• Natural Language Processing
• Generative AI
• Full Stack Development