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    Home/Jobs/AI Engineer

    AI Engineer

    Nomia

    Bengaluru
    3-6 years
    Today
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

    Transformers
    LangChain
    RAG
    LLM APIs
    Prompt Engineering
    Python
    NLTK
    spaCy
    Scikit-learn
    PyTorch
    TensorFlow
    FAISS
    Pinecone
    Weaviate
    REST API

    Description

    Nomia is transforming the way organizations manage tail spend procurement with an AI-powered SaaS platform. The company is looking for an AI Engineer to drive innovation and build intelligent systems. The role is critical to implementing NLP pipelines and integrating large language models.

    Company: Nomia

    Role: AI Engineer

    Location: Bangalore · Hybrid

    Experience:

    • 3–6 years of hands-on experience in AI, Machine Learning and NLP

    Qualification:

    • Proficient in Python
    • Strong command of AI and NLP libraries
    • Experience with Langchain and RAG architecture is essential

    Role Focus: • Design and develop machine learning models, with a focus on Natural Language Processing (NLP) use cases • Implement and optimize Retrieval-Augmented Generation (RAG) pipelines • Fine-tune and integrate large language models into internal workflows and applications • Develop scalable and production-ready AI services using Python and relevant libraries • Perform data preprocessing, tokenization, stemming, and vectorization • Design and maintain evaluation frameworks to measure the accuracy, relevance, and latency of NLP models • Collaborate with data engineers, backend developers, and product managers to integrate AI models into applications • Conduct experiments and ablation studies to validate model choices and configurations • Manage, monitor, and maintain model performance in production environments • Document model assumptions, training pipelines, APIs, and deployment steps clearly

    Additional responsibilities:

    • Participate in code reviews, technical discussions, and cross-functional meetings
    • Identify and solve practical NLP problems in areas like question answering, summarization, entity extraction, and semantic search
    • Support continuous improvement by automating retraining pipelines and incorporating user feedback into iterative model refinement

    More skills:

    AI and NLP libraries (e.g., NLTK, spaCy, Transformers, scikit-learn, PyTorch/TensorFlow), vector libraries & databases (e.g., FAISS, Pinecone, Weaviate), retrieval, ranking, and semantic similarity techniques, RESTful APIs or microservices

    Other:

    • Adhere to Nomia’s data protection and information security policies at all times
    • Promote diversity and inclusion in line with Nomia’s core values
    • This is a hybrid role, with three office days per week required, potentially more during training or as requested by your supervisor
    • Contribute to continuous improvement in systems and processes

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

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