AI / LLM Engineer

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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 Location - Fort Mill SC (Day One Onsite - Hybrid)About The Role Develop, fine-tune and implement AI components that translate natural language intent into executable optimization requests and automate parameter tuning for third-party engines, focusing on LLM integration, prompt engineering, and agent development. Responsibilities • Implement LLM integration using standardized prompts and configurations • Develop functional agents for intent interpretation and request generation • Create template and strategy selection agents • Build optimization request builders that generate valid payloads • Implement pre-flight validation via Policy Agent • Develop explainability components for AI-driven decisions • Fine-tune and optimize AI models for specific use cases Requirements • 4+ years of software development experience with 2+ years in AI/ML implementation • Experience with LLM integration, prompt engineering, and fine-tuning • Knowledge of Python and AI frameworks (PyTorch, TensorFlow, etc.) • Understanding of NLP techniques and conversational AI • Experience with agent-based architectures preferred • Knowledge of financial services domain is a plus Nice-to-haves • Knowledge of financial services domain is a plus Benefits • 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 Apply tot his job

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