Senior AI Engineer

Hybrid role requiring three days per week on-site in Menlo Park. Key Responsibilities Design, build, and evolve Solutions components, packages, and applications that deliver customer value and quality. Collaborate with product managers, UX designers, and other engineers to deliver solutions that balance functionality, usability, security, and scalability.

Develop and test code in short cycles with a high degree of automation. Deliver features end-to-end: from architecture and technical design to coding, testing, deployment, and monitoring in production. Gather feedback from stakeholders and adapt solutions accordingly.

Design, document, and communicate high-level functional designs and solutions. Implement product development best practices, continuous delivery, and testing. Mentor and provide technical leadership to junior team members.

Stay up to date with emerging technologies and propose ideas to continuously improve Solutions and its ecosystem. Required Skills & Experience 5+ years of software development experience. 2+ years experience building production-grade AI Agents and complex intelligent systems within the enterprise. Strong working knowledge of LLMs, prompt engineering, RAG strategies, fine-tuning, and grounding techniques, with practical experience using major AI Agent orchestration frameworks (LangChain, Semantic Kernel, or similar).

Solid understanding of software architecture, design patterns, and scalability principles. Demonstrated ability to implement security best practices (e.g., authorization, data masking) and enforce Responsible AI governance and guardrails in production systems. Ability to articulate complex technical designs and risks to stakeholders and non-technical partners.

Able to work independently and manage own priorities within a collaborative team environment. Commitment to delivering high-quality developer experiences and supporting others in building great software. Desired Skills Proficient in C# (.NET) and GoLang.

Experience with Python, cloud-native deployment, containerization (Docker/Kubernetes), and scalable APIs (REST/gRPC). Familiarity with the OutSystems platform or similar low-code/no-code platforms, understanding their integration patterns and architecture limitations. Equal Opportunity Employer Statement As an equal opportunity employer, all qualified applicants receive equal consideration regardless of race, origin, religion, sex, sexual orientation, gender identity, disability, veteran status, or any other protected status. #J-18808-Ljbffr