Senior AI/ML Engineer

Company Name: Willware Technologies

Role:Senior Generative AI Engineer

Experience: 5+ Years

Location: Pan India

WorkMode: Hybrid

We are seeking a highly experienced AI/ML Engineer with strong expertise in Large Language Models (LLMs), Generative AI, and modern ML techniques. The ideal candidate will build scalable AI-powered applications such as chatbots, intelligent assistants, and document processing systems using cutting-edge frameworks and cloud platforms.

• Design, develop, and deploy applications using LLMs and Generative AI

• Build and optimize Retrieval-Augmented Generation (RAG) pipelines

• Develop conversational AI solutions and chatbot systems

• Work with frameworks like LangChain to orchestrate LLM workflows

• Fine-tune machine learning models and improve model performance

• Build scalable REST APIs using Python frameworks (FastAPI/Flask)

• Integrate vector databases for semantic search and retrieval

• Deploy and manage applications on cloud platforms (AWS preferred)

• Ensure production-grade quality through testing, logging, and monitoring

• Implement security, access control, and performance optimization best practices

• Collaborate with cross-functional teams to deliver end-to-end AI solutions

• 6+ years of software engineering experience

• 4+ years of hands-on experience in AI/ML, including LLMs and Generative AI

• 2-3 years of experience working with LLM-based applications

• 1-2 years of hands-on experience with LangChain or similar frameworks

• 1-2 years of experience implementing RAG pipelines

• Strong understanding of machine learning concepts and fine-tuning techniques

• Strong experience with chatbots, conversational AI, and NLP solutions

• 2-3 years of professional coding experience in Python (PEP8 standards)

• Experience in Web/API development (RESTful services)

• 4+ years of experience with cloud platforms (AWS preferred)

• Hands-on experience with Docker and containerization

• Experience with Git or similar version control systems

• Comfortable working in Linux/terminal environments

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

• Experience in the healthcare domain

• Full-stack development experience

• Exposure to MLOps practices and model deployment pipelines

• Knowledge of prompt engineering and LLM optimization techniques