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Urgent! Senior Generative AI Engineer - NLP/LLM Job Opening In Bengaluru – Now Hiring EduRun

Senior Generative AI Engineer NLP/LLM



Job description

<p><p><b>Key Responsibilities :</b><br/><br/>- Lead end-to-end delivery of Generative AI solutions for clients, particularly in manufacturing and administrative domains.<br/><br/>- Architect and implement AI/ML models using advanced techniques in NLP, LLMs (Large Language Models), and generative technologies tailored to specific industry use cases.<br/><br/>- Engage directly with clients to understand business needs, challenges, and objectives, and translate them into actionable technical solutions.<br/><br/>- Mentor and guide junior consultants and technical teams in best practices for GenAI development, deployment, and lifecycle management.<br/><br/>- Collaborate cross-functionally with data engineers, product managers, DevOps, and business stakeholders to ensure smooth integration and deployment of AI solutions.<br/><br/>- Ensure solutions are robust, scalable, secure, and compliant with industry and organizational standards.<br/><br/>- Stay current with the latest GenAI trends, tools, frameworks, and research to continuously drive innovation and elevate solution quality.<br/><br/>- Support pre-sales, proposals, and client pitches as a technical SME in GenAI, contributing to solution design, estimations, and presentations.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/>- Minimum 4 years of experience in AI/ML engineering, with at least 12 years focused on GenAI technologies.<br/><br/>- Proven experience in designing and delivering LLM-powered solutions (e.g., using OpenAI, Hugging Face Transformers, LangChain, RAG architecture, etc.).<br/><br/>- Proficient in Python, with experience using AI/ML libraries such as TensorFlow, PyTorch, spaCy, or similar.<br/><br/>- Strong experience in NLP, prompt engineering, and working with generative models (e.g., GPT, LLaMA, Claude).<br/><br/>- Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).<br/><br/>- Excellent communication and stakeholder engagement skills, with the ability to interact with both technical and non-technical audiences.<br/><br/>- Ability to lead projects, mentor team members, and collaborate in a fast-paced, agile environment.<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Experience in industry-specific GenAI use cases in manufacturing, supply chain, or enterprise productivity tools.<br/><br/>- Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG (Retrieval-Augmented Generation) pipelines.<br/><br/>- Exposure to MLOps and CI/CD pipelines for model deployment and monitoring.<br/><br/>- Contributions to open-source GenAI projects or published research work.</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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