Python Engineer with REST & GenAI

We are seeking a highly skilled Python Engineer with strong expertise in REST API development and Generative AI (GenAI) to design, build, and maintain scalable backend services and AI-powered solutions. The ideal candidate will collaborate closely with cross-functional teams to deliver high-quality, secure, and production-ready applications, leveraging modern AI frameworks and cloud platforms., * Design, develop, and maintain robust backend services and APIs using Python

• Build and consume high-performance, scalable, and secure RESTful APIs
• Develop and integrate Generative AI solutions using LLMs (e.g., OpenAI, Azure OpenAI, Anthropic)
• Implement advanced techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning
• Integrate AI models with enterprise systems, databases, and third-party services
• Optimize API performance, reliability, and data processing efficiency
• Write clean, reusable, and well-documented code following industry best practices
• Implement authentication, authorization, and security mechanisms (OAuth, JWT, etc.)
• Collaborate effectively with frontend, DevOps, data, and business teams
• Participate in code reviews, testing, and CI/CD processes

Troubleshoot, debug, and enhance existing systems and applications

• Strong proficiency in Python (FastAPI, Flask, or Django)
• Solid experience building and consuming RESTful APIs
• Hands-on experience with Generative AI and Large Language Models (LLMs)
• Familiarity with AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, Hugging Face
• Experience with prompt engineering and AI orchestration patterns
• Strong understanding of data structures, algorithms, and object-oriented programming (OOP)
• Experience with SQL and NoSQL databases
• Knowledge of cloud platforms (Azure, AWS, or GCP)
• Familiarity with Docker and containerized environments
• Good understanding of Git, CI/CD pipelines, and Agile methodologies, * Experience with Azure OpenAI or enterprise GenAI deployments
• Knowledge of vector databases (Pinecone, FAISS, Weaviate, Azure AI Search)
• Exposure to microservices architecture
• Understanding of MLOps and AI governance
• Experience working with Kubernetes
• Familiarity with frontend technologies like React or Angular

The base compensation range for this role in the posted location is: 65786-70982

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

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.