Python GenAI Engineer
Skills
About the role
This is a mid-level Python GenAI engineering role at Capgemini in Bengaluru, working in a hybrid arrangement. It suits an engineer with 3-5 years of experience who wants to build and enhance generative AI applications, RAG pipelines and AI-powered workflows. The role involves fine-tuning models, developing APIs and deploying AI solutions in cloud and containerized environments.
What you’ll do
- Develop and enhance generative AI applications using LLMs and AI frameworks
- Build and optimize RAG pipelines, vector search and AI-powered workflows
- Design prompts and fine-tune models using techniques such as LoRA and QLoRA
- Develop REST APIs and integrate AI capabilities into enterprise applications
- Deploy, monitor and maintain AI solutions in cloud and containerized environments
- Ensure code quality through testing, debugging, documentation and code reviews
- Follow Responsible AI, security and data governance practices
What they’re looking for
- 3-5 years of experience
- Python and object-oriented programming skills
- Experience with LangGraph, PyTorch, TensorFlow or Keras
- Experience with Docker, Git and CI/CD
- Familiarity with cloud platforms such as Azure, AWS or GCP
- Understanding of data structures, algorithms and complexity analysis
What’s on offer
- Support for career growth and professional development
- Flexible work arrangements for work-life balance
- Certifications and training programs in latest technologies
Questions about this role
Is this role remote?
No, it is hybrid, based in Bengaluru.
How much does it pay?
Approximately $20.5K–31.3K/yr.
How many years of experience do I need?
3 to 5 years.
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