Sr. Full-Stack Software Engineer - AI Focus

MeridianLink is seeking a Senior Full-Stack Software Engineer to join their growing team focused on developing AI-powered experiences for their products. The role involves working closely with product, design, and engineering teams to create seamless AI features and ensuring the technical quality and performance of AI-integrated software.

Responsibilities:

• Work on AI-powered services that are used across product lines, developing both backend APIs and frontend interfaces
• Mentor lower-level peers and serve as an informal technical lead, particularly in AI/ML integration best practices
• Create and execute processes and procedures for the technical quality, security, performance, and consistency of AI-powered products
• Create 'big picture' architectural approaches and implementation plans for AI-integrated software
• Ensure security, performance, and quality of software architectures and provide technical guidance to development teams
• Drive end-to-end system design decisions for scalable enterprise-grade AI platforms and collaborate with Product to evolve requirements into well-architected solutions
• Conduct research, gather information, interpret data, identify requirements, and create innovative solutions for AI-driven products
• Stay current on emerging AI/ML technologies, modern development tooling, and implement security best practices throughout the AI development lifecycle

Requirements:

• Ability to assess unusual circumstances and use sophisticated analytical and problem-solving techniques to identify the cause, particularly with AI integrations
• Ability to resolve and assess a wide range of AI-related issues in creative ways and suggest variations in approach
• Ability to devise AI-powered solutions based on limited information and precedent and adapts existing approaches to resolve complex technical issues
• Strong foundation in both RESTful API development in Python and modern frontend development (React, TypeScript, Vite)
• Solid understanding of cloud environments with experience deploying full-stack AI applications
• Experience with modern development tooling across the stack and proficiency with AI-assisted development tools (GitHub Copilot, Claude, etc.)
• Track record of taking AI-powered features end-to-end from high-level product concepts to production deployment
• Ability to enhance relationships and networks with senior internal/external partners who are not familiar with AI/ML subject matter, often requiring persuasion and technical expertise
• Bachelor's degree and 6-8 years of related experience or equivalent work experience, with demonstrated experience in full-stack development and AI integration
• Hands-on experience integrating AI/ML services (e.g., Azure AI, OpenAI, Anthropic) into production applications
• Knowledge of AI frameworks (e.g., Langchain), LLM orchestration frameworks, and prompt engineering best practices
• Familiarity with modern UI frameworks (Tailwind CSS, shadcn/ui) and React patterns
• Knowledge of containerization (Docker), CI/CD pipelines, and DevOps practices
• Understanding of AI safety, prompt injection prevention, and LLM security considerations