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    Home/Jobs/Applied AI Engineer

    Applied AI Engineer

    Soliton Technologies Pvt. Ltd.

    Bengaluru / Coimbatore
    3+ years
    45 days ago
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    LlamaIndex
    OpenAI
    Hugging Face
    Anthropic
    Python
    FastAPI
    Docker
    Ollama
    MLflow
    Arize Phoenix
    TruLens
    GCP

    Description

    Soliton is seeking an Applied AI Engineer to design, build, and deploy intelligent applications leveraging Generative AI, Large Language Models (LLMs), and modern AI engineering practices.

    Company: Soliton Technologies Pvt. Ltd.

    Role: Applied AI Engineer

    Location: Bangalore/Coimbatore (WFO for the first 12 months, then remote or hybrid)

    Experience:

    • 3+ years of experience building applications using Python and asynchronous programming
    • 3 years of minimum required experience

    Qualification:

    • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
    • Proven experience in AI/ML engineering and related technologies
    • Experience working with SQL and NoSQL databases

    Role Focus: • Design, implement, and optimize Generative AI applications • Build AI solutions using LLM frameworks • Implement containerized deployments • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines • Work with self-hosted and cloud-based vector databases • Design and manage knowledge graphs and graph-based RAG systems • Implement re-ranking models and retrieval optimization techniques • Apply prompt engineering and context engineering • Establish guardrails for safe AI deployments • Build data preprocessing and transformation pipelines • Perform inference using offline LLMs • Integrate online LLM providers • Monitor AI workflows using observability tools • Evaluate model performance

    Nice to have:

    • Experience with MCP clients and servers
    • Knowledge of multimodal LLMs for image and voice processing
    • Knowledge of deploying applications in cloud or on-prem infrastructure
    • Knowledge of fine-tuning techniques and data preparation for fine-tuning

    More skills:

    Generative Ai, Retrieval-Augmented Generation (RAG), vector databases, Qdrant, Pinecone, Weaviate, Llama, Mistral

    Other:

    • Flexible work hours
    • Support for mothers to excel at work
    • Profit sharing for employees
    • Health insurance for employees and families
    • Gym and cycle allowance

    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.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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