Artificial Intelligence Engineer

2 years

0 Lacs

Posted:11 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

  • Model Development & Training:

  • Develop, train, and optimize ML and generative AI models including LLMs, transformers, diffusion models, and embedding-based models.
  • Generative AI Applications:

  • Build real-world generative AI applications such as chatbots, RAG systems, summarization, content generation, and agent frameworks.
  • Prompt Engineering & LLM Integration:

  • Apply prompt design, tuning, and evaluation techniques using tools like LangChain, LlamaIndex, or similar frameworks.
  • Data Pipeline & MLOps:

  • Build scalable ML pipelines for data ingestion, feature engineering, model deployment, and monitoring using MLOps best practices.
  • Cloud & Infrastructure:

  • Deploy models and services on AWS / GCP / Azure, leveraging containerization (Docker/Kubernetes) and GPU infrastructure.
  • Research & Innovation:

  • Stay current with AI research, experiment with new models, and contribute ideas for enhancements and automation.
  • Documentation & Collaboration:

  • Maintain clear technical documentation and collaborate with cross-functional engineering and product teams.

Required Skills & Experience

  • 2+ years of experience

    in Machine Learning / AI engineering roles
  • Hands-on experience with

    Generative AI / LLMs / Transformers

  • Strong programming skills in

    Python

    and frameworks like

    PyTorch/TensorFlow

  • Experience with

    vector databases

    (Pinecone, ChromaDB, Weaviate, FAISS)
  • Solid understanding of

    LangChain, LlamaIndex, RAG, embeddings, prompt tuning

  • Familiarity with

    cloud deployment

    (AWS/GCP/Azure) and

    CI/CD pipelines

  • Strong analytical problem-solving skills and knowledge of ML lifecycle
  • Excellent communication and teamwork abilities

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