Gen AI / Agentic AI Specialist
Gen AI / Agentic AI Specialist
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Job Description
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
Employment Type
Full Time
