Senior AI Engineer/ Node.js, Python, Typescript

We're seeking a hands-on Senior AI Engineer skilled in Node.js, Python and TypeScript to contribute to the development of an AI-powered Risk Map solution. In collaboration with the Solution Architect and the broader engineering team, you'll build an AI-driven risk assessment system designed to cut manual effort from roughly 30 hours to about 8 hours per assessment.

This project demands advanced AI-enabled engineering practices (such as spec-driven development) along with modern tooling (Claude Code, Codex, etc.) to ensure on-time, on-budget delivery. This position suits engineers who have real-world production experience with AI tools and who are passionate about LLMs, Prompt Engineering, and enterprise-grade AI applications.

Responsibilities

Develop the system based on the architecture and scope established during the Discovery phase Enhance prompt quality, AI workflows, and overall solution performance Increase the accuracy, consistency, and reliability of AI-generated outputs Roll out new AI capabilities in line with the solution architecture Assist in integrating AI capabilities into the existing platform Work closely with the AI Architect and Lead Engineer Take part in testing, validation, and ongoing refinement of AI solutions Diagnose AI-related problems and suggest fixes Record implementation details and provide technical recommendations Requirements 3+ years working as an AI Engineer or Software Engineer on AI-based solutions Strong command of Node.

js, Python, and TypeScript Solid expertise in LLMs and Generative AI Hands-on background in Prompt Engineering Prior work with Claude or comparable enterprise LLM platforms Knowledge of Claude Skills or similar reusable AI capability frameworks Familiarity with AI evaluation, prompt optimization, and quality enhancement techniques Sharp analytical and problem-solving abilities Effective communication and teamwork skills English proficiency at B2+ level or higher Nice to have Experience with AWS cloud services and Amazon Bedrock Background integrating AI solutions into enterprise systems Knowledge of AI guardrails, structured outputs, and evaluation methods Experience in insurance, risk management, financial services, or enterprise automation sectors