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Senior AI Engineer

Senior AI Engineer

Testlifyindore, madhya pradesh, in
16 days ago
Job description

We are looking for an experienced AI Engineer specializing in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to develop and optimize AI-driven applications. The ideal candidate will have hands-on experience in deploying, fine-tuning, and integrating LLMs with RAG architectures to enhance the efficiency and accuracy of AI-powered solutions.

Responsibilities :

  • Design, develop, and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks.
  • Implement and fine-tune models to improve response relevance and contextual accuracy.
  • Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding.
  • Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities.
  • Integrate AI models with enterprise applications and APIs.
  • Optimize model inference for performance and scalability.
  • Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives.
  • Ensure ethical AI implementation, addressing bias, explainability, and data security.
  • Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques.

Requirements :

  • 8+ years experience in software development according to development standards;
  • Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain.
  • Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies.
  • Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.
  • Solid understanding of NLP, deep learning, and transformer architectures.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.).
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows.
  • Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments.
  • Strong problem-solving and debugging skills.
  • Excellent communication and teamwork abilities
  • Bachelor's or Master’s degree in computer science, AI, Machine Learning, or a related field.
  • Job Type & Work hours :

  • Full-time
  • Hybrid (2–3 days / week) from Airoli, Navi Mumbai
  • Monday to Friday
  • Benefits :

  • Help shape a brand-new offering that bridges offline retail with online presence.
  • Be a foundational team member alongside Product and QA.
  • Gain experience in scaling an operationally heavy, customer-focused tech service.
  • Competitive compensation, supportive team, and flexible work model.
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