AI & Agentic Engineer, Senior

This role focuses on designing and developing agentic AI systems that can autonomously perform tasks and make decisions. The engineer will build AI agents, integrate them with existing platforms, and optimize their performance.

Owns the design, development, and continuous improvement of AI agent systems that power modern research operations at Metaforms. Responsibilities include building the agent harness, driving long-context handling and cascading-error mitigation, defining evaluation rubrics, and building production monitoring and eval suites for high-stakes outputs. Requires experience building and operating agentic systems in production with multi-step pipelines and tool use.

This Senior Software Engineer designs and ships AI-powered advertiser-facing features including campaign assistants, creative generation, and conversational analytics. The role owns features end-to-end, making architectural decisions on LLM usage, building reliable systems with guardrails, and defining evaluation frameworks. Requires 5+ years of software engineering experience with hands-on generative AI application development.

This role is a senior software engineering position focused on building and scaling an agent platform. The engineer will design and implement core platform services, APIs, and integrations that enable AI agents to operate effectively. Responsibilities include ensuring system reliability, performance, and security, as well as collaborating with product and AI teams to define platform requirements.

This role takes ownership of a well-defined stream or mission, building and deploying AI agents and solutions while coaching junior consultants. The senior builder designs engaging learning experiences, prototypes functional AI solutions (no-code, low-code, vibe coding), and drives adoption through office hours and train-the-trainer programs. Success is measured by real adoption, team autonomy, and tangible changes in daily work.

This role leads AI adoption missions and programs, driving AI from experimentation to business transformation. The manager defines upskilling programs, builds agents and AI solutions (no-code, low-code, vibe coding), and manages teams, budgets, and client relationships. Responsibilities include scoping with L&D/HR, overseeing solution development, and structuring change management with KPIs and dashboards.

This role builds production-grade business applications and agents in partnership with an AI Product Manager. The engineer is responsible for frontend, backend, and APIs, integrating AI agents into business processes with human-in-the-loop controls, and ensuring monitoring and adoption post-production. The role requires tested code in Python or TypeScript and experience with coding agents.