
AI Engineer
1 week ago
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
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