AI Application Engineer (GenAI / RAG) Python
Role details
Job location
Tech stack
Job description
We are seeking an AI Application Engineer to design, build, and integrate Generative AI powered applications using Large Language Models (LLMs) and modern GenAI frameworks. This role focuses on building endtoend AI applications and productionready prototypes, including RetrievalAugmented Generation (RAG) pipelines, conversational interfaces, and intelligent tooling that enhance advisor and engineering workflows., You will work handson with Python, LLM APIs, vector databases, and GenAI orchestration frameworks to rapidly prototype and operationalize AI solutions in an enterprise environment., GenAI Application Development
- Build and integrate applications using LLMs (OpenAI, Anthropic, Copilot) and GenAI frameworks
- Develop system prompts, agent workflows, and AIorchestrated tools
- Prototype conversational interfaces, advisor tools, and AI assistants
RAG & Knowledge Systems
- Design and implement RAG pipelines using embeddings and vector search
- Integrate structured and unstructured data from APIs, databases, and document repositories
- Optimize retrieval relevance, latency, and response quality
Data Integration & Automation
- Ingest and consolidate data from REST APIs, enterprise systems, and knowledge sources
- Develop intelligent automation and AIassisted engineering tooling
Prototype Delivery & Experimentation
- Deliver productionready prototypes and proofofconcepts
- Iterate quickly based on stakeholder and user feedback
DevOps & Operationalization
- Package and deploy applications using containers, APIs, and CI/CD pipelines
- Apply monitoring, observability, testing, and secure coding practices
- Ensure alignment with Responsible AI, privacy, and data governance standards
Requirements
- Strong Python development experience
- Handson experience building applications with LLMs
- Experience with RAG architectures, embeddings, and vector databases
- Familiarity with LangChain and/or Semantic Kernel
- Experience integrating APIs and heterogeneous data sources
- Understanding of containers and CI/CD pipelines
- Strong problemsolving and communication skills
Nice to Have
- Experience with multimodal AI workflows
- Exposure to AI evaluation, guardrails, or monitoring
- Financial services or enterprise platform experience
Benefits & conditions
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
About the company
Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.