Artificial Intelligence Engineer

3 days ago

Bengaluru, Karnataka, India Capgemini Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Job Description:

  • We are seeking a versatile and innovative AI Engineer to join our team in building intelligent, GPT-powered applications and systems.
  • This role involves designing and implementing AI-driven solutions across the stackfrom model integration and data processing to user-facing features.
  • The ideal candidate is passionate about artificial intelligence, has hands-on experience with modern AI tools and platforms, and thrives in a collaborative, fast-paced environment.

Key Responsibilities:

  • Design, develop, and deploy AI-powered applications using GPT models and other LLMs.
  • Integrate AI capabilities into web and backend systems using APIs and custom workflows.
  • Implement document vectorisation and AI search pipelines for intelligent retrieval and automation.
  • Collaborate with cross-functional teams (product, engineering, data science) to define and deliver AI features.
  • Optimize models and applications for performance, scalability, and reliability.
  • Develop and maintain Python-based scripts and services for data processing and model interaction.
  • Work with cloud platforms (especially Microsoft Azure) to deploy and manage AI services.
  • Stay current with advancements in AI/ML, LLMs, and emerging technologies.
  • Participate in code reviews, architecture discussions, and mentoring activities.

Skills and Qualifications:

  • Strong proficiency in Python, with experience in AI/ML development. Familiarity with GPT APIs (e.g., OpenAI, Azure OpenAI) and prompt engineering.
  • Experience integrating AI search and document vectorisation techniques.
  • Solid understanding of RESTful APIs, asynchronous workflows, and data pipelines.
  • Hands-on experience with Microsoft Azure, especially in deploying AI services.
  • Proficiency with Git basics and modern CI/CD workflows.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Experience working on AI/ML products or in data-driven environments.
  • Familiarity with SAFe or other agile methodologies.
  • Exposure to backend technologies (e.g., , Express) or cloud platforms like AWS, Vercel.
  • Understanding of model fine-tuning, evaluation metrics, and deployment strategies.

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