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LLM / Generative AI Engineer

LLM / Generative AI Engineer

Talent IntegratorsGurgaon
30+ days ago
Job description

Role Overview :

We are seeking a highly motivated LLM Engineer with hands-on expertise in Large Language Models (LLMs) and Generative AI technologies. The ideal candidate will have experience in building end-to-end AI solutions, including RAG pipelines, vector databases, fine-tuning LLMs, and deploying scalable AI-powered applications. In this role, you will collaborate with cross-functional teams (data scientists, ML engineers, product managers) to design and deliver innovative AI systems that solve real-world business problems.

This is an exciting opportunity to work on state-of-the-art Generative AI models, influence technical strategy, and contribute to shaping the future of AI-driven solutions within the organization.

Key Responsibilities :

LLM Development & Deployment :

  • Design, build, and deploy Generative AI applications leveraging models like GPT, LLaMA, Falcon, and other cutting-edge LLMs.
  • Fine-tune and adapt pre-trained LLMs for domain-specific use cases.

RAG Pipelines & Vector Databases :

  • Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent and contextual responses.
  • Implement vector search solutions using ChromaDB, Pinecone, Weaviate, LanceDB, or FAISS.
  • Prompt Engineering & Optimization :

  • Design effective prompt engineering strategies for reliable model outputs.
  • Implement embeddings, semantic search, and context optimization to improve accuracy and relevance.
  • AI Application Development :

  • Work with LangChain, Hugging Face Transformers, and related frameworks for application development.
  • Ensure AI solutions are scalable, efficient, and & Best Practices :
  • Work closely with data science, product, and engineering teams to deliver impactful solutions.
  • Stay updated with the latest research in NLP, LLMs, and Generative AI and adopt best practices.
  • Required Skills & Qualifications :

  • Programming : Strong proficiency in Python with experience in ML / AI libraries.
  • LLM Experience : Minimum 2+ years hands-on with LLMs & Generative AI.
  • Frameworks & Tools : Practical knowledge of LangChain, Hugging Face Transformers, BERT, GPT models.
  • Vector Databases : Expertise in ChromaDB, Pinecone, LanceDB, Weaviate, or FAISS.
  • RAG Pipelines : Proven track record of building, optimizing, and deploying RAG solutions.
  • Deep Learning & NLP : Strong understanding of Neural Networks, NLP techniques, and embeddings.
  • Deployment : Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.
  • Preferred Skills (Good to Have) :

  • Experience with MLOps workflows and deployment of AI models in production.
  • Knowledge of LLMOps frameworks for monitoring and managing LLM-powered applications.
  • Hands-on experience with APIs & microservices architecture.
  • Understanding of responsible AI practices (bias, fairness, interpretability).
  • (ref : hirist.tech)

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