Senior AI Developer – Architect

Role Overview

• Own AI architecture across cloud platforms (AWS Bedrock, Google Vertex AI)
• Design RAG systems end-to-end
• Build agentic systems using modern patterns
• Define observability and evaluation
• Manage cost at scale
• Establish guardrails and compliance patterns
• Mentor and guide implementation-level developers
• Ship production systems

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field; or equivalent practical experience
• 5+ years in AI/ML development
• 2+ years in architectural leadership or technical lead roles
• Proven track record architecting and deploying AI/ML systems in production environments
• Experience designing systems that handle sensitive data with appropriate security and compliance controls
• Deep expertise in AWS Bedrock and/or Google Vertex AI
• Proficiency with large language models (Claude, GPT, Gemini) and their APIs
• Hands-on experience building RAG systems end-to-end
• Experience with vector databases (Pinecone, pgvector, or similar)
• Strong background in prompt engineering and LLM integration patterns
• Hands-on experience with agentic patterns
• Experience with orchestration frameworks (LangGraph, LangChain, or similar)
• Experience designing and implementing AI observability and evaluation systems
• Track record of managing AI infrastructure costs and optimizing token economics
• Proficiency in Python and/or TypeScript for AI/ML development
• Experience designing secure, scalable API ecosystems
• Familiarity with HIPAA compliance frameworks and PHI data handling requirements
• Experience with CI/CD pipelines for ML systems.

Tech Stack

• AWS
• Cloud
• Python
• TypeScript

Benefits

• Competitive salary and benefits package
• Dynamic and innovative work environment
• Opportunities for professional growth and development
• Remote work flexibility
• Equal Opportunity Statement