Applied AI Engineer

Job Overview We are seeking an exceptional Applied AI Engineer with strong software engineering expertise and hands-on experience building AI agents, agentic systems, and AI-powered applications. This role will focus on developing innovative AI solutions that address complex, real-world business needs and improve efficiency, analytics, and decision-making.

The ideal candidate will be highly technical, entrepreneurial, and comfortable taking AI projects from initial concept and rapid prototyping through production deployment.

Key Responsibilities

• Collaborate with internal teams and end users to design and build bespoke AI agents and user-facing AI applications tailored to business requirements.
• Lead and contribute to greenfield AI initiatives, taking ownership from concept through development, testing, deployment, and ongoing improvement.
• Develop AI coding agents and developer tools that improve software development workflows and engineering productivity.
• Rapidly prototype, evaluate, and integrate emerging AI models, tools, and technologies into production applications.
• Develop best practices, reusable frameworks, and components to support the broader adoption of AI solutions.
• Build foundational AI capabilities, including agent frameworks, reusable AI skills, tool integrations, memory systems, and large-scale retrieval systems.
• Design and maintain scalable AI infrastructure and agentic applications.
• Integrate data and enterprise systems to support AI-powered applications and workflows.
• Evaluate the performance, usability, reliability, and scalability of AI systems and continuously improve their effectiveness.
• Work in a fast-paced environment where experimentation, iteration, and rapid delivery are essential.

Required Qualifications

• Bachelor's degree in any field or equivalent practical experience.
• Extensive software development experience with strong hands-on programming skills.
• Proven experience building, deploying, and scaling AI-powered products, systems, or applications.
• Deep practical experience with AI agents and agentic systems, including orchestration, tool use, memory, and multi-step reasoning.
• Strong understanding of modern AI technologies, including large language models and AI application development.
• Experience working with AI/agent frameworks and integrating models, tools, APIs, and data sources.
• Strong problem-solving and analytical skills with the ability to tackle complex technical challenges.
• Ability to rapidly prototype ideas, experiment with emerging technologies, and transition successful concepts into production.
• Demonstrated ability to independently lead technical projects from inception through deployment.
• Strong communication and collaboration skills, with the ability to work directly with technical and non-technical stakeholders.
• Track record of strong academic, professional, technical, or entrepreneurial achievement.

Preferred Qualifications

• Experience building production-grade agentic applications or AI platforms.
• Experience developing AI developer tools or coding agents.
• Experience designing reusable AI frameworks, skills, and infrastructure.
• Experience with large-scale retrieval systems and enterprise data integration.
• Experience evaluating and improving the reliability, scalability, and performance of AI systems.
• Strong interest in emerging AI technologies and the ability to quickly learn and apply new tools and techniques.