About the role
Responsibilities Work in a pair with an FDE and an FDX Build and ship production GenAI systems into the customer's environment Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature Integrate AI components into backend services and RESTful APIs Implement LLMOps and AgentOps practices with cost and latency monitoring Mentor junior and mid-level AI engineers and conduct code reviews Requirements 5+ years in software or ML engineering with production systems Shipped production LLM applications and agentic workflows Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) Hands-on AWS in production (Bedrock, Lambda, ECS, S3, SQS) Python and/or TypeScript proficiency Built or owned an eval suite for a non-deterministic system B2+ English Preferred Qualifications Experience in financial services, insurance, or healthcare AWS and Claude Code certifications Experience with MCP or A2A agent interoperability CI/CD pipeline experience Benefits Remote-friendly culture Private medical insurance Paid sick leave, vacation, and public holidays Internal training and certification support About the Company Provectus is an AWS Premier Partner and Anthropic Strategic Partner delivering applied AI for enterprises in financial services and healthcare.