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Agentic AI /Gen AI Developer

  • Source: Naukri
  • Capgemini
  • $10,587.61 to $21,175.23 /yr
  • Hybrid
  • Full-Time
  • Mid level

Job Description

Gen AI / Agentic AI Developer (4+ Years Experience)

We are seeking a Gen AI / Agentic AI Developer with 3+ years of hands-on experience in designing, developing, and deploying AI-driven solutions. The ideal candidate should have strong expertise in LLMs, Prompt Engineering, NLP, Machine Learning, and Python, with experience building conversational AI and intelligent automation solutions.

Key Responsibilities

  • Design and develop GenAI and Agentic AI applications using LLMs.
  • Build conversational AI, chatbots, and NLP-based solutions using ChatGPT and related technologies.
  • Apply prompt engineering techniques to optimize AI model performance.
  • Develop AI/ML solutions for text analytics, document AI, OCR, sentiment analysis, entity recognition, and predictive analytics.
  • Translate business requirements into scalable AI solution architectures.
  • Deploy and manage AI models on cloud platforms and containerized environments.

Mandatory Skills

  • 2+ years of experience in Generative AI, LLMs, Agentic AI, and Prompt Engineering
  • Strong proficiency in Python, SQL, Machine Learning, and NLP
  • Experience with ChatGPT, Conversational AI, Text Analytics, Document AI, OCR, Sentiment Analysis, and NER
  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, SpaCy, or Keras
  • Knowledge of Statistical Modeling, Classification, and Forecasting
  • Experience with Azure, AWS, or GCP
  • Familiarity with Kubernetes, Docker, Model Deployment, and Git

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Data Science, or a related field.
  • Strong problem-solving, analytical, and communication skills.

Preferred Skills: RAG, LangChain, LlamaIndex, Vector Databases, MLOps, Computer Vision, and Intelligent Automation.

Skills

  • chatgpt
  • document-ai
  • Python
  • Tensorflow
  • PyTorch
  • Scikit-learn
  • spacy
  • Keras
  • microsoft-azure
  • amazon-web-services
  • google-cloud-platform
  • Kubernetes
  • Docker
  • LangChain
  • LlamaIndex

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