Lead GenAI Engineer (LLM)

Responsibilities

• Design & Deploy AI/GenAI Solutions
• Architect and implement LLM-powered applications, agentic workflows, & RAG pipelines using AWS Bedrock and AgentCore
• Build AI-Integrated APIs
• Develop and maintain robust APIs (REST, FastAPI, etc.) serving as the backbone for AI applications, orchestration, and downstream consumers
• Engineer Data & Analytics Pipelines
• Build pipelines that feed AI/ML systems with clean, governed, and well-structured data from enterprise sources
• Build on Amazon Bedrock AgentCore primitives
• Deliver streaming, stateful, tool-using agents in production
• Champion Responsible AI
• Apply prompt engineering best practices, implement guardrails, evaluate model outputs (Promptfoo, RAGAS), and ensure compliance with enterprise AI governance standards
• Drive Full Stack AI Applications
• Build and maintain cloud-native web applications that surface AI capabilities to end users, including chat interfaces, dashboards, and automation tools
• Implement DevSecOps for AI
• Integrate AI workloads into CI/CD pipelines, apply secure coding standards, and implement observability for model behavior and inference performance
• Enhance User Experience
• Design intuitive AI-powered interfaces that are accessible, explainable, and trusted by end users
• Document & Share Knowledge
• Author technical documentation, evaluation frameworks, and contribute to internal AI communities of practice
• Mentor & Lead
• Provide technical guidance, code reviews, and foster a culture of responsible AI innovation

Qualifications

• Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems
• Strong foundation in software engineering: design, development, testing, and deployment of enterprise-grade applications
• Experience with cloud architecture (AWS preferred), Git version control, and performance optimization
• Experience with multi-agent orchestration patterns and tool-use frameworks (function calling, MCP)
• Proficiency in Python and/or TypeScript for API and AI integration development
• Familiarity with prompt engineering, model evaluation, and AI safety/guardrails
• Experience writing clear technical documentation, test cases, and evaluation frameworks
• Proficiency with AI-assisted development tools (GitHub Copilot) to accelerate delivery
• Strong communication skills with the ability to explain AI concepts to non-technical stakeholders
• Demonstrate initiative in learning emerging AI technologies and contributing to team knowledge
• Background in insurance, financial services, or regulated industries
• Familiarity with cloud Contact Center applications
• Experience productionizing LLMs or GenAI features in regulated industries (insurance, financial services, healthcare)
• Familiarity with AI governance, responsible AI frameworks, and enterprise

Benefits

• Potential starting salary range: $81,000 - $142,000 (Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.)
• Potential yearly incentive pay up to 15% of base salary
• Get Paid!
• Stay Well!
• Develop and Grow!
• Take a Little “You” Time!
• Give Back!
• Finish Strong!