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Gen AI/ Agentic AI Developer

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Hybrid

Gen AI/ Agentic AI Developer

Capgemini

Gen AI/ Agentic AI Developer

Skills

Google Cloud PlatformSQL QueriesDeep LearningPythonKerasPyTorchTensorFlowGitData AnalysisMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

13 August 2026

What they need


We are looking for a Gen AI / Agentic AI Developer with 2+ years of hands-on experience in designing, developing, and implementing artificial intelligence and Gen AI solutions across various domains. You will collaborate with cross-functional teams to create robust and scalable Gen AI applications that meet business objectives.

  • Bachelors degree or Masters in computer science, mathematics, or related field.
  • Leverage LLMs and General AI for developing innovative solutions.
  • Apply prompt engineering techniques to enhance the performance of AI applications.
  • Utilize ChatGPT for developing conversational AI and natural language processing solutions.
  • 2+ years of experience in statistical programming languages like Python, database query language SQL, Machine Learning
  • 2+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling
  • 2+ years of experience in statistical modeling, forecasting, classification
  • Good applied statistical skills and advanced statistical techniques and concepts
  • Deep knowledge on ML frameworks such as TensorFlow, Pytorch, Keras, Spacy, scikit-learn.
  • Ability to translate business requirements into conceptual and detailed system architecture and technology solutions.
  • Expertise in ideating, developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence.
  • Experience working in at least one cloud environment (AWS/Azure/GCP) and model deployment, orchestration, containerization (Kubernetes).
  • Knowledge of the application of AI technologies for automation such as natural language processing, virtual agents, computer vision, and neural networks.
  • Excellent problem-solving and communication skills.
  • Knowledge on version control systems, such as Git.

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