We are seeking a talented and experienced AI Engineer with a Data Science background to join our professional services team of 50+ engineers. The position is available full-time, with part-time arrangements possible for the right candidate. This remote-first role focuses on Generative AI development, specifically building and deploying advanced Large Language Models (LLMs) and AI agents. You'll work with state-of-the-art foundation models through platforms like AWS Bedrock and GCP Vertex AI to develop innovative GenAI applications and scalable AI infrastructure for our clients.

Key Responsibilities:

Generative AI Development:

• Design and implement production-ready generative AI applications and AI agents using foundation models and cutting-edge protocols like MCP and A2A
• Fine-tune and optimize LLMs for specific use cases and domains
• Create and maintain prompt engineering strategies and evaluation frameworks
• Design and deploy autonomous AI agents with targeted capabilities

AI/ML Engineering:

• Build end-to-end LLM pipelines for fine-tuning, deployment, and monitoring
• Implement RAG (Retrieval-Augmented Generation) systems
• Create efficient vector storage and embedding solutions

Infrastructure and Operations:

• Build and maintain robust AI infrastructure using AWS and GCP services
• Implement monitoring systems for model performance and infrastructure health
• Optimize cloud resources for cost-efficiency while maintaining performance

Preferred Qualifications:

• 4+ years of experience in AI, machine learning, or data science, with a recent focus on Generative AI
• Strong programming skills and experience with LLM and Agent frameworks (LangChain, CrewAI)
• Expertise in cloud platforms (AWS, GCP) and containerization technologies
• Deep understanding of LLM operations, including prompt engineering and RAG
• Experience with vector databases and semantic search implementations
• Experience building and deploying AI agents using modern frameworks
• Strong analytical and problem-solving abilities

Employment Options:

• Full-time position (40 hours/week)
• Part-time arrangements available for qualified candidates (minimum 20 hours/week)

Benefits:

• Potential career paths include AI Team Lead
• Collaborative remote team environment
• Opportunity to contribute to open-source GenAI initiatives and research publications