-Have
Solid programming skills in Python with experience in building ML/NLP applica
tions.Hands-on experience with Deep Learning, Machine Learning, and Natural Language Proce
ssing.Proficiency in working with LLMs (e.g., GPT,Gemini, LLaMA, Mistral) and RAG archite
cture.Experience with Agentic AI frameworks and autonomous agent d
esign.Familiarity with FastAPI for building RESTful
APIs.Experience with CI/CD pipelines and deploying solutions on Azure Cloud, GCP a
nd AWSSolid understanding of data structures, algorithms, and software engineering princ
iples.Bachelors or masters degree in computer science, AI, Data Science, or related
field.Retrieval Augmented Generation (RAG): Hands-on experience in building and optimizing RAG pipelines from s
cratchExpert-level proficiency and hands-on experience with LangChain and/or LlamaIndex for building complex LLM applications,
including chains, agents, memory, and tool integr
ation.
Good-
to-Have
Excellent Communicatio
n SkillsStrong Software Engineering Background (Productionizing the
models)Hands-on experience with data scien
ce toolsProblem-solving
aptitudeAnalytical mind and great busin
ess sens
Responsibility of / Expectations from
the Role
Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI arch
itectures.Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or T
ensorFlow.Build scalable APIs using FastAPI to serve AI models and integrate with enterpris
e 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 env
ironments.Stay updated with the latest research and advancements in generative AI and deep
learning.Scalability & Perf
📌 Generative AI Engineer (India)
🏢 Tata Consultancy Services
📍 India
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