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Sr. Full-Stack Software Engineer - AI Focus

Roles & Responsibilities

  • Strong foundation in RESTful API development in Python and modern frontend development (React, TypeScript, Vite).
  • Experience deploying full-stack AI applications in cloud environments.
  • Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude) and modern development tooling across the stack.
  • Bachelor's degree and 6-8 years of related experience (or equivalent) with demonstrated experience in full-stack development and AI integration.

Requirements:

  • Work on AI-powered services across product lines, developing both backend APIs and frontend interfaces.
  • Mentor junior engineers and serve as an informal technical lead, particularly in AI/ML integration best practices.
  • Create and execute processes for the technical quality, security, performance, and consistency of AI-powered products.
  • Design and implement big-picture architectural approaches and implementation plans for AI-integrated software.

Job description

Sr. Software Engineer – Full Stack (AI focus)

Position Summary:

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.

Expected Duties:

· 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.

Qualifications: Knowledge, Skills, and Abilities

· 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.

Preferred Additional Skills:

· 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.

If you’re a self-driven engineer who enjoys working across the entire technology stack and is passionate about building the next generation of AI-powered applications — we’d love to meet you.

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