MeridianLink is seeking a Senior Full-Stack Software Engineer with a focus on AI to join their growing team. The role involves developing AI-powered experiences for products, working closely with product and design teams to create seamless features, and mentoring junior engineers.
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