Safe Software

AI Engineer

• Take a leading technical role in the FME AI Service, AI Assist Plugin, and future AI product offerings
• Design and build server-side services and APIs using FastAPI
• Design and build modular agentic workflows to augment FME platform capabilities
• Stay current with AI and LLM tooling and incorporate relevant ideas into products
• Participate in the full development cycle, including specifications, coding, unit and integration testing, code reviews, and maintaining existing code
• Collaborate, support, and share expertise with team members
• Work with product owners and design teams to deliver a high-quality, consistent user experience
• Maintain and improve the AI service build and delivery process to reduce query latency and improve assistant response quality
• Investigate, evaluate, and resolve anomalies and bugs in live applications
• Participate in the team's light on-call rotation
• Participate in agile team meetings, including stand-ups and planning
• Lead technical decision-making processes
• Work with Product Managers, UX Designers, QA, and Customer Experience team members reviewing live AI application traces

Staff Software Developer – AI Products

• Design, build, evaluate, deploy, and operate end-to-end AI/ML systems in production
• Manage the full AI lifecycle, including data preparation, model development, training or fine-tuning, integration, application logic, monitoring, and continuous improvement
• Architect and build agentic and multi-agent systems with orchestration, task routing, shared state, tool use, agent handoffs, human oversight, and failure recovery
• Design and build enterprise knowledge and retrieval systems across structured and unstructured data
• Use data pipelines, embeddings, hybrid search, reranking, metadata, and access-controlled retrieval
• Integrate AI solutions with enterprise applications, APIs, databases, data platforms, and governed tools
• Establish automated testing, evaluation, and observability practices
• Monitor task success, model and retrieval quality, hallucination risk, tool execution, safety, latency, cost, drift, and regression
• Design secure and responsible AI systems with least-privilege access, auditability, sensitive-data protection, and safeguards against prompt injection, data leakage, and unauthorized actions
• Create reusable architectures, libraries, and engineering standards
• Provide cross-functional technical leadership through design reviews, mentoring, and stakeholder collaboration
• Evaluate emerging LLMs, frameworks, and platforms and make evidence-based adoption recommendations

Staff Software Developer – AI Products

Staff AI Engineer