AI Engineer

We are seeking a talented and experienced AI Engineer to join our professional services team of 50+ engineers. This position is available as full-time, with the flexibility to arrange part-time work for the right candidate. This remote-first role specializes in Generative AI development, with a primary focus on building and deploying advanced Large Language Models (LLMs) solutions. You'll work extensively with state-of-the-art foundation models through platforms like AWS Bedrock and GCP Vertex AI, developing innovative GenAI applications and scalable AI infrastructure for our clients.

Key Responsibilities:

Generative AI Development:

• Design and implement production-ready GenAI applications using foundation models
• Fine-tune and optimize LLMs for specific use cases and domains
• Develop prompt engineering strategies and evaluation frameworks

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 frameworks (LangChain, LlamaIndex)
• 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
• 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