Gen AI Developer

4 weeks ago

india Tata Consultancy Services Full time

Role: Gen AI DeveloperRequired Technical Skill Set (MustHave): Gen AI / LLM /Agentic AIDesired Experience Range:6 to 8 YrsLocation of Requirement : Pune, MumbaiDesired Competencies (Technical/Behavioral Competency)Must-HaveStrong 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 AWSSolid 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 scratchExpert-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-HaveExcellent Communication SkillsStrong Software Engineering Background (Productionizing the models)Hands-on experience with data science toolsProblem-solving aptitudeAnalytical mind and great business senseResponsibility 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.Containerization: Practical experience with Docker for packaging and deploying applications.

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