AI/LLM Engineer

2w2 weeks ago

Capgemini

Columbia, US · Full-time · $140,000 – $190,000

About this role

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, supported and inspired by a collaborative community of colleagues around the world. Develop, fine-tune and implement AI components that translate natural language intent into executable optimization requests. Automate parameter tuning for third-party engines, focusing on LLM integration, prompt engineering, and agent development.

Implement LLM integration using standardized prompts and configurations as part of day-to-day responsibilities. Develop functional agents for intent interpretation and request generation, along with template and strategy selection agents. Build optimization request builders that generate valid payloads and implement pre-flight validation via Policy Agent.

Work within a global collaborative community at Capgemini, reimagining what's possible for leading organizations. Benefit from a supportive environment that values technology's role in building a sustainable, inclusive world. Engage with colleagues worldwide on innovative AI projects.

Grow through mentoring, coaching, and learning programs offered at Capgemini. Access Employee Resource Groups and professional development opportunities. Shape your career while contributing to AI-driven advancements in optimization and automation.

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

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

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