Python Gen AI Engineer
Indexed description
Your Role
- Develop, enhance, and maintain enterprise applications using Python, FastAPI, Flask, SQL, and Generative AI technologies.
- Design scalable and secure system architectures, including LLM integrations, RAG frameworks, vector databases, and Agentic AI solutions.
- Build AI-powered applications such as conversational analytics, text-to-SQL systems, and intelligent compliance automation platforms.
- Lead code reviews, mentor developers, establish coding standards, and drive best practices throughout the SDLC.
- Collaborate with business stakeholders, troubleshoot production issues, and ensure timely delivery of solutions within SLA commitments.
- 3 to 5 years of experience in Python development with strong expertise in FastAPI, Flask, SQL, and MSSQL databases.
- Hands-on experience building Generative AI applications using LLMs (OpenAI, Gemini, Anthropic), Prompt Engineering, RAG, Embeddings, LangChain, and Vector Databases.
- Strong understanding of Agentic AI, Text-to-SQL, NLP-based applications, and AI-driven workflow automation.
- Experience with DevOps and containerization technologies including GitLab CI/CD, Kubernetes, Docker, and cloud platforms such as AWS.
- Excellent analytical, problem-solving, communication, and stakeholder management skills with the ability to lead and mentor teams.
- You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
- You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
- At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
Make it real | www.capgemini.com
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search