Willware Technologies
Website:
willwaretech.com
Job details:
Company Name: Willware Technologies
Role:Senior Generative AI Engineer
Experience: 5+ Years
Location: Pan India
WorkMode: Hybrid
Job Description:
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.
Key Responsibilities -
Design, develop, and deploy applications using LLMs and Generative AI
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Build and optimize Retrieval-Augmented Generation (RAG) pipelines
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Develop conversational AI solutions and chatbot systems
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Work with frameworks like LangChain to orchestrate LLM workflows
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Fine-tune machine learning models and improve model performance
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Build scalable REST APIs using Python frameworks (FastAPI/Flask)
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Integrate vector databases for semantic search and retrieval
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Deploy and manage applications on cloud platforms (AWS preferred)
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Ensure production-grade quality through testing, logging, and monitoring
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Implement security, access control, and performance optimization best practices
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Collaborate with cross-functional teams to deliver end-to-end AI solutions
Required Skills & Qualifications -
6+ years of software engineering experience
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4+ years of hands-on experience in AI/ML, including LLMs and Generative AI
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2-3 years of experience working with LLM-based applications
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1-2 years of hands-on experience with LangChain or similar frameworks
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1-2 years of experience implementing RAG pipelines
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Strong understanding of machine learning concepts and fine-tuning techniques
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Strong experience with chatbots, conversational AI, and NLP solutions
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2-3 years of professional coding experience in Python (PEP8 standards)
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Experience in Web/API development (RESTful services)
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4+ years of experience with cloud platforms (AWS preferred)
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Hands-on experience with Docker and containerization
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Experience with Git or similar version control systems
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Comfortable working in Linux/terminal environments
Preferred Qualifications -
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
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Experience in the healthcare domain
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Full-stack development experience
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Exposure to MLOps practices and model deployment pipelines
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Knowledge of prompt engineering and LLM optimization techniques
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