Gen AI Developer

Desired Competencies (Technical/Behavioral Competency)

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 (e.g., 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

 Excellent Communication Skills
 Strong Software Engineering Background (Productionizing the models)
 Hands-on experience with data science tools
 Problem-solving aptitude
 Analytical mind and great business sense
 

 Responsibility of / Expectations from the Role
 

 Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AIarchitectures.
 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.
 Containerization: Practical experience with Docker for packaging and deploying applications.