Agios AI Foundation Software Engineer

At Meta Reality Labs Research (RL-R), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences.

We are looking for a software engineer to join a team focused on AI tooling and infrastructure within RL-R. The team builds the agent frameworks, LLM tooling, and developer-facing libraries that other engineering teams use to ship AI-driven features. We are the layer between cutting-edge model capability and the engineers who turn that capability into products.

You will design and build that platform: the SDKs, abstractions, evaluation harnesses, and reference patterns for agentic and LLM-powered systems running across the stack. You will work alongside researchers, AI engineers, and engineers in adjacent teams to take prototypes from "works in a notebook" to "owned, observable, and production-ready."

This is a new team and an early hire, so the work is a mix of greenfield building and pattern-setting that other teams will adopt. You will have access to cutting-edge technology, resources, and testing facilities across RL-R.

• Design and build shared agent and LLM tooling: framework abstractions for tool use, retrieval, memory, and orchestration that other teams consume
• Build evaluation infrastructure for LLM-powered features: offline eval harnesses, regression detection, prompt and model versioning, observability for agent behavior in production
• Partner with product-facing teams to take AI prototypes into production-ready systems with clear quality, latency, and cost budgets
• Set technical patterns and quality bars for AI work: how teams structure agents, evaluate them, ship them, and monitor them
• Collaborate with researchers and AI engineers across RL-R to land new capabilities into the runtime in a way other engineers can build on
• Contribute to planning, design, and code reviews across the team and adjacent groups
• Experience translating fast-moving prototypes and research artifacts into production systems, working directly with researchers or AI partners

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Experience translating fast-moving prototypes and research artifacts into production systems, working directly with researchers or AI partners
• 3+ years of software engineering experience, with a systems and Python background
• Experience shipping LLM-powered or agentic features to production, not just prototypes
• Experience designing developer-facing libraries, SDKs, or platforms that other engineers build on top of
• Hands-on familiarity with modern LLM and agent tooling: prompt design, tool use, retrieval, structured output, evaluation

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience building or operating evaluation infrastructure for LLM-powered systems (offline eval, online metrics, regression detection)
• Experience with agent frameworks (e.g. LangChain, LlamaIndex, AutoGen, or comparable internal stacks) and an opinion on what works at scale
• Experience with LLM serving, latency optimization, or cost-aware orchestration of model calls
• Experience contributing to wearables, AR/VR, or other constrained-compute product surfaces
• Experience with multimodal AI features (vision, audio, sensor inputs)

$121,992/year to $181,000/year + bonus + equity + benefits