Senior AI Engineer

Responsibilities

• Develop key AI architecture patterns (RAG, text-to-sql, multi-agent, etc) and create end-to-end production grade AI agents integrated into applications
• Build and maintain AI workflows and pipelines using LangChain/LangGraph or equivalent, deploying and managing LLM solutions on Azure OpenAI, AWS Bedrock, or similar platforms
• Implement observability and monitoring for AI systems to track performance, costs, and reliability, with automated model deployment and orchestration using CI/CD pipelines
• Evaluate, benchmark, and document models while applying prompt engineering and context engineering techniques to optimize LLM performance

Benefits

Unlimited vacation (subject to local regulations and business priorities) · Hybrid working arrangements · Paid time off for voting, bereavement, and sick leave · Employee Assistance Program with confidential one-to-one support · Medical, life and disability insurance · Retirement plans · Online learning and accredited courses through Skills & Career Navigator · Paid time off for volunteering and donation-matching opportunities · Inclusion communities and employee recognition program