Senior Generative AI Full Stack Engineer - Large Language Model

Description : Senior Generative AI & Full Stack Engineer.

Job Location : Pune.

Location Flexibility : Primary Location Only.

Role : Senior Generative AI & Full Stack Enginee.

rExperience : 5+yr.

Shifts : 8am5pm IST.

Work Location : Pun.

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)

- Cloud AI Platforms (AWS, Azure)

- API Development & Integration

Knowledge Only :

- Software Design Principles

- AI Ethics & Bias Mitigation

- Agile/Scrum Development Practices

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.

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