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Full-time
bachelor degree
Posted 31d ago
~40 hrs/week
Responsibilities
Provide engineering support for Meta's Business Agents by troubleshooting large-scale distributed systems and partner integrations. Build and optimize AI solutions using LLMs while collaborating with cross-functional teams to improve the product roadmap.
Requirements
Requires a Bachelor's degree in Computer Science or a related field and over 5 years of experience in Software or Site Reliability Engineering. Must have proven expertise in API development, full-stack web technologies, and the optimization of PyTorch and LLM models.
Full job description
Meta recently launched its Business Agent, helping businesses of every size use AI to boost productivity and deliver more personalized customer experiences. Business Support Engineering will be at the forefront of this shift, and we're looking for an engineer to play a pivotal role supporting Meta's partners bringing demonstrated experience in distributed systems and API troubleshooting and a focus on improving the end-to-end support experience.
As a Business Support Engineer, you will work closely with cross-functional teams and business partners across the globe, incorporating AI-driven business solutions into their service offerings. You will track industry advancements and partner experiences, evaluating their impact and influencing the product's strategic roadmap.
Responsibilities
Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfaction
Troubleshoot large-scale distributed systems and partner integrations, maintaining reliable systems through thorough debugging, root-cause analysis, and follow-up improvements
Leverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindset
Build, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to production
Develop performance monitoring systems for partner integrations to ensure high availability; leverage metrics to proactively identify issues and drive improvements across teams
Provide 24/7 oncall support coverage via rotation schedule (including weekends)
Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvement
Create clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externally
Drive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Develop and share AI/ML expertise, actively coach and mentor other engineers on technical troubleshooting and project execution
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5+ years of experience in Software Engineering or Site Reliability Engineering
Proven experience in API development on cloud-based infrastructures, with the ability to debug, identify root causes, and independently resolve outages impacting Meta partners
Experience with the full web stack, REST APIs, Python, PHP/Hack, and JavaScript/React development, along with debugging and bug management
Knowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as LLaMA, GPT, Claude, Falcon, etc
Experience in communicating with technical and business audiences and writing technical documentation
Experience in assessing, analyzing, and resolving operational issues using data analysis (SQL)
Professional working proficiency in English is required because this role involves close collaboration with internal stakeholders and external customers whose primary business language is English
Preferred Qualifications
Experience in partner-facing or customer-centric engineering roles
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience transforming data, model selection/training/optimization, and deployment at scale
Hands-on experience working with large language models and AI agents
Experience working in engineering environments with geographically distributed, cross-cultural teams and international stakeholders
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience building and deploying solutions on cloud platforms (e.g., AWS, GCP, Azure)
Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Related keywords
Meta Business AgentsAIDistributed SystemsAPILlamaLLMPyTorchREST APIsPythonPHPHackJavaScriptReactSQLCloud PlatformsAWS
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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.
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For a full listing of our jobs, visit https://www.metacareers.com
Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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.
To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
For a full listing of our jobs, visit https://www.metacareers.com
Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US