Role: Gen AI Developer Required Technical Skill Set (MustHave): Gen AI / LLM /Agentic A I

Desired Experience Range: 4 to 15Y rsLocation: Pan Ind ia Desired Competencies (Technical/Behavioral Compete ncy)

Must -Have

Strong 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 & Performance: Ability to write effective code and consider scalability and latency implications for Gen AI app lications.Containerization: Practical experience with Docker for packaging and deploying app lications.

📌 Generative AI Engineer (Maharashtra)
🏢 Tata Consultancy Services
📍 Maharashtra