Sr. Full-Stack Software Engineer - AI

MeridianLink

70d

About The Position

We are seeking a Senior Full-Stack Software Engineer to join our growing team focused on developing AI-powered experiences for our products using Python, React, and modern cloud technologies. You'll work closely with product, design, and fellow engineers to craft seamless AI-powered features that empower users to do their best work.

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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees