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Python Gen Ai Developer

  • Source: Naukri
  • Tata Consultancy Services
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Job Title:   Python Engineer/ Gen AI Developer (4-8 yrs experience)   Location:- Chennai / Bangalore

Job Purpose and Key Responsibilities:

  • strong Python engineers with early exposure to AI/GenAI and data engineering
  • Gen AI / LLM /Agentic AI

Primary Role & Responsibilities:

  • 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 withDockerfor packaging and deploying applications.

Key Skills, Experience & Knowledge:  (Must-Have)

  • Strong programming skills inPythonwith experience in building ML/NLP applications.
  • Hands-on experience withDeep Learning,Machine Learning, andNatural Language Processing.
  • Proficiency in working withLLMs(e.g., GPT,Gemini, LLaMA, Mistral) andRAGarchitecture.
  • Experience withAgentic AIframeworks and autonomous agent design.
  • Familiarity withFastAPIfor building RESTful APIs.
  • Experience withCI/CD pipelinesand deploying solutions onAzure Cloud, GCP and AWS
  • Solid understanding of data structures, algorithms, and software engineering principles.
  • 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 scratch
  • Expert-level proficiency and hands-on experience withLangChainand/orLlamaIndexfor building complex LLM

Skills

  • Python
  • PyTorch
  • Tensorflow
  • FastAPI
  • microsoft-azure
  • processing-js
  • Gemini
  • meta-llama
  • llama
  • google-cloud-platform
  • amazon-web-services

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