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Senior Generative AI Engineer - NLP / LLM

Senior Generative AI Engineer - NLP / LLM

EduRunBangalore
30+ days ago
Job description

Key Responsibilities :

  • Lead end-to-end delivery of Generative AI solutions for clients, particularly in manufacturing and administrative domains.
  • Architect and implement AI / ML models using advanced techniques in NLP, LLMs (Large Language Models), and generative technologies tailored to specific industry use cases.
  • Engage directly with clients to understand business needs, challenges, and objectives, and translate them into actionable technical solutions.
  • Mentor and guide junior consultants and technical teams in best practices for GenAI development, deployment, and lifecycle management.
  • Collaborate cross-functionally with data engineers, product managers, DevOps, and business stakeholders to ensure smooth integration and deployment of AI solutions.
  • Ensure solutions are robust, scalable, secure, and compliant with industry and organizational standards.
  • Stay current with the latest GenAI trends, tools, frameworks, and research to continuously drive innovation and elevate solution quality.
  • Support pre-sales, proposals, and client pitches as a technical SME in GenAI, contributing to solution design, estimations, and presentations.

Required Skills & Qualifications :

  • Minimum 4 years of experience in AI / ML engineering, with at least 12 years focused on GenAI technologies.
  • Proven experience in designing and delivering LLM-powered solutions (e.g., using OpenAI, Hugging Face Transformers, LangChain, RAG architecture, etc.).
  • Proficient in Python, with experience using AI / ML libraries such as TensorFlow, PyTorch, spaCy, or similar.
  • Strong experience in NLP, prompt engineering, and working with generative models (e.g., GPT, LLaMA, Claude).
  • Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
  • Excellent communication and stakeholder engagement skills, with the ability to interact with both technical and non-technical audiences.
  • Ability to lead projects, mentor team members, and collaborate in a fast-paced, agile environment.
  • Preferred Qualifications :

  • Experience in industry-specific GenAI use cases in manufacturing, supply chain, or enterprise productivity tools.
  • Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG (Retrieval-Augmented Generation) pipelines.
  • Exposure to MLOps and CI / CD pipelines for model deployment and monitoring.
  • Contributions to open-source GenAI projects or published research work.
  • (ref : hirist.tech)

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