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Artificial Intelligence Engineer - LLM / Generative AI

Artificial Intelligence Engineer - LLM / Generative AI

True Tech ProfessionalsGurgaon
30+ days ago
Job description

We are seeking a passionate and hands-on Applied AI Builder to join our team and drive innovation at the intersection of Generative AI, Machine Learning, and Cloud technologies. This role is ideal for someone with a strong foundation in ML / AI, practical experience with LLMs and GenAI frameworks, and a desire to solve real-world problems using cutting-edge tools and techniques.

As an Applied AI Builder, youll work on designing, developing, and deploying AI solutions across multiple domains, leveraging state-of-the-art models and frameworks. You will collaborate with cross-functional teams to build scalable applications that integrate GenAI, RAG (Retrieval-Augmented Generation), and vector-based search.

Key Responsibilities :

  • Design and develop AI / GenAI applications using LLMs and frameworks like LangChain, Haystack, etc.
  • Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search techniques.
  • Build, fine-tune, and deploy ML and DL models using PyTorch, TensorFlow, or JAX.
  • Develop robust, production-ready code in Python with reusable and scalable modules.
  • Optimize and deploy models on cloud platforms such as AWS, GCP, or Azure.
  • Collaborate with data engineers, product managers, and designers to deliver AI-driven features and services.
  • Stay current with the latest research and advancements in GenAI, LLMs, and emerging ML technologies.

Required Skills & Experience :

  • 3+ years of hands-on experience in Machine Learning, Deep Learning, and Python programming.
  • Strong exposure to Generative AI and working with Large Language Models (LLMs).
  • Experience with Prompt Engineering, LangChain, or Haystack.
  • Proficiency with vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus).
  • Solid understanding of RAG-based architectures and semantic search.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying AI models at scale.
  • Experience with at least one deep learning framework : PyTorch, TensorFlow, or JAX.
  • Good to Have :

  • Experience building AI-based chatbots or intelligent agents.
  • Knowledge of model optimization techniques (quantization, pruning, distillation).
  • Exposure to MLOps tools and workflows for scalable AI deployment.
  • Published work, open-source contributions, or participation in AI competitions (e.g., Kaggle, Hugging Face).
  • Why Join Us?

  • Work at the forefront of AI and Generative AI innovation.
  • Build impactful, production-grade solutions that are deployed and used at scale.
  • Collaborate with a highly skilled, passionate team in a fast-paced and agile environment.
  • Opportunity for rapid growth and working on real-world AI applications across industries.
  • (ref : hirist.tech)

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