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Gen AI / Agentic AI Specialist @ Leading Client

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Leading Client  Gen AI / Agentic AI Specialist

Job Description

About the job Gen AI / Agentic AI Specialist
Education and Work Experience Requirements:  
  • 5 to 9 years of experience as GenAI or Agentic AI specialist
  • 2 to 3 years of experience in Generative AI/ Agentic AI solution development
  • Proven track record and experience with below technologies
  • o Open source LLMs like Llama, Gemma, Mixtral etc
  • o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc
  • o Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..)
  • o Understanding of SLMs such as Phi3, BERT and Transformer architecture
  • o Vector databases like Pincone, Qdrant etc.
  • Good knowledge of advanced statistical methods. Experience working with Text Data using
  • transformer-based model
  • Expertise with the following scripting languages:
  • o Python, R, Tensorflow, Keras, Pytorch
  • o OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models,
  • Knowledge Graphs
  • Good and experience of machine learning algorithms and ability to apply them in supervised and
  • un-supervised NLP tasks.
  • Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making.
  • Experience in developing and deploying AI agents that operate independently or collaboratively in
  • complex environments.
  • Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity
  • extraction, language modeling, text classification, question answering, text summarization, topic
  • modeling and so on
  • Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks
  • . Tech savy and willing to work with open-Source Tools
  • Should have independently handled a project technically and provided directions to the other Team Members.
  • Able to lead the project independently.
  • Experience in turning ideas into actionable designs.
  • Able to persuade stakeholders and champion effective techniques through development.
  • Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.
  • Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API, Swagger/Postman tools
  • Mandatory Skills:

  • Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a
  • strong focus on language models.
  • Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and
  • Guardrails
  • Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc.
  • Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven
  • agents.
  • Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for
  • orchestrating AI workflows.
  • Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to
  • enhance automation and reasoning.
  • NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim
  • Experience in cloud services.
  • Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP
  • solutions: Conversational AI, document understanding and QnA.
  • Mine and analyze data, applying statistical methods as necessary, pertaining to customers
  • discovery, and viewing experiences to identify critical product insights.
  • Proactively develop new metrics and studies to quantify the value of different aspects of product.
  • Drive efforts to enable product and engineering leaders to share your knowledge and insights
  • through clear and concise communication, education, and data visualization.
  • Translate analytic insights into concrete, actionable recommendations for business or product
  • improvement.
  • Build and improve reusable tools & modelling pipelines and support knowledge sharing across
  • several teams.
  • Define and deploy best practices in Machine Learning & MLOps/LLMOps, mentor and teach
  • colleagues.
  • Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem
  • environments.
  • Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and
  • VAEs.
  • Partner closely with product and engineering leaders throughout the lifecycle of project 
  • Additional Information :

  • A Masters or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc) from tier 1
  • institutions. If Bachelors, Machine Learning or Computer Science specialization only
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Technical Lead
    Employement Type: Full time

    Contact Details:

    Company: Leading Client
    Location(s): Bengaluru

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    Keyskills:   ai mlops algorithms python cloud services conversational ai nltk llm machine learning research deep learning r tensorflow spacy nlp automation lms pytorch keras data visualization flask language models architecture azure

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