Senior Generative AI & Full Stack Engineer

About the job

Senior Generative AI & Full Stack Engineer 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 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. 3. 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. 4. 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. 5. 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. 6. Machine Learning & Deep Learning • Apply supervised, unsupervised, and reinforcement learning techniques using libraries such as Scikit-learn, TensorFlow, and PyTorch. 7. Model Fine-Tuning & Optimization • Customize pre-trained models with domain-specific data, improving accuracy and efficiency in inference workflows. 8. 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 behavior in production environments. Relocation Supported: No Visa Sponsorship Approved: No

Requirements

• Python Programming
• Machine Learning
• Deep Learning
• Natural Language Processing
• Generative AI

Qualifications

• 5+ years of experience

Preferred Technologies

• Python Programming
• Machine Learning
• Deep Learning
• Natural Language Processing
• Generative AI