Must-Have

Strong programming skills in Python with experience in building ML/NLP applications

Hands-on experience with Deep Learning, Machine Learning, and Natural Language Processing

Proficiency in working with LLMs (eg, GPT,Gemini, LLaMA, Mistral) and RAG architecture

Experience with Agentic AI frameworks and autonomous agent design

Familiarity with FastAPI for building RESTful APIs

Experience with CI/CD pipelines and deploying solutions on Azure Cloud, GCP and AWS

Solid understanding of data structures, algorithms, and software engineering principles

Bachelor s or master s degree in computer science, AI, Data Science, or related field

Retrieval Augmented Generation (RAG): Hands-on experience in building and optimizing RAG

pipelines from scratch

Expert-level proficiency and hands-on experience with LangChain and/or LlamaIndex for building

complex LLM applications, including chains,, agents, memory, and tool integration

Good-to-Have

Responsibility of / Expectations from the Role

Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI

architectures

Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or

TensorFlow

Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems

Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on

Azure

Optimize model performance and ensure robustness in production environments

Stay updated with the latest research and advancements in generative AI and deep learning

Scalability & Performance: Ability to write efficient code and consider scalability and latency

implications for Gen AI applications

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Gen AI Developer

Job Description

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