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    Home/Jobs/AI Developer

    AI Developer

    Wissen Technology Pvt. Ltd.

    Mumbai
    6-10 years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    RAG
    LangChain
    GPT
    Gemini
    Mistral
    Claude
    Python
    Llama
    Azure
    AWS
    GCP
    Machine Learning
    NLP

    Description

    Wissen Technology is hiring for AI Developer to design, develop, and deploy scalable AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks/workflow development.

    Company: Wissen Technology Pvt. Ltd.

    Role: AI Developer

    Location: Mumbai, India | Hybrid

    Experience:

    • 6-10 years

    Key Skills:

    • Python
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Agentic AI frameworks
    • LangChain
    • LangGraph
    • CrewAI
    • AutoGen
    • LLMs (GPT, Gemini, Llama, Mistral, Claude)
    • vector databases
    • embeddings
    • AI orchestration frameworks
    • cloud-native AI deployments
    • NLP
    • AI workflows
    • Azure
    • AWS
    • GCP

    Qualification:

    • Experience building production-grade GenAI systems
    • Exposure to multi-agent workflows
    • Experience with AI observability tools
    • Understanding of scalable backend architecture
    • Prior work on enterprise AI products or copilots

    Role Focus:

    • Build and deploy GenAI applications using LLMs
    • Design and implement RAG pipelines
    • Develop AI agents and workflow orchestration
    • Fine-tune, evaluate, and optimize LLM models
    • Integrate AI services into scalable backend systems and APIs
    • Work with structured/unstructured datasets
    • Deploy AI solutions on cloud platforms
    • Build observability, monitoring, guardrails, and evaluation frameworks
    • Collaborate with product, engineering, and business teams
    • Mentor junior engineers and contribute to AI architecture decisions

    Nice to have:

    • Experience with multi-agent AI systems and complex workflow orchestration
    • Familiarity with fine-tuning techniques (LoRA, PEFT, RLHF) for LLMs
    • Exposure to AI observability tools (e.g., LangSmith, Weights & Biases, Arize, PromptLayer)
    • Knowledge of LLM evaluation frameworks, benchmarking, and prompt testing
    • Experience implementing AI guardrails, safety, and hallucination reduction strategies
    • Understanding of data pipelines and ETL processes for AI/ML workloads

    Other:

    • Founded in 2015
    • Global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia
    • Industry: IT Services
    • Job Type: Full time

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

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

    Python for Everybody Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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