Generative AI (GenAI) Developer / Engineer

Capgemini • Tampa, FL

1d

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description We are seeking a skilled Generative AI (GenAI) Developer/Engineer to design, build, and implement AI-driven solutions across enterprise applications. This role focuses on developing advanced generative AI capabilities—such as LLM integrations, automation pipelines, prompt engineering, and intelligent workflows—to enhance productivity, decision-making, and customer experiences. The ideal candidate has strong engineering fundamentals, hands-on experience with modern AI models, and the ability to translate business needs into scalable AI solutions.

Requirements

• Hands‑on experience with LLMs, Generative AI frameworks, or similar ML/AI technologies.
• Proficiency in Python, API development, and backend engineering.
• Experience with Vector databases (Pinecone, FAISS, Chroma, Elasticsearch).
• Knowledge of RAG, embeddings, fine‑tuning, and prompt optimization techniques.
• Familiarity with ML frameworks such as PyTorch or TensorFlow.
• Experience deploying scalable AI solutions on AWS/Azure/GCP.
• Strong understanding of data pipelines, model lifecycle, and MLOps.

Responsibilities

• Design, develop, and deploy Generative AI solutions, including LLM-based applications, agents, and automation workflows.
• Build and maintain APIs, microservices, and backend components for integrating AI into production systems.
• Perform prompt engineering, fine-tuning, RAG pipelines, vector databases, and model optimization.
• Collaborate with data engineering teams to prepare, process, and manage training datasets.
• Implement secure, scalable, and high‑performance architectures for AI workloads on cloud platforms (AWS/Azure/GCP).
• Monitor AI model performance, bias, drift, and reliability; implement continuous improvements.
• Ensure compliance with organizational security, governance, and responsible AI standards.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees