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Agios AI Foundation Software Engineer

Job

Oculus

Redmond, WA (In Person)

$151,496 Salary, Full-Time

Posted 6 days ago (Updated 1 hour ago) • Actively hiring

Expires 6/17/2026

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Job Description

Agios AI Foundation Software Engineer Oculus - 4.0 Redmond, WA Job Details $121,992 - $181,000 a year 1 hour ago Qualifications Software design Prompt engineering Model deployment AI Prototypes Python Generative AI Full Job Description 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.
Agios AI Foundation Software Engineer Responsibilities:
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
Minimum Qualifications:
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
Preferred Qualifications:
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)
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . $121,992/year to $181,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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