> Markdown version of [/jobs/ext/1973213-business-support-engineer-meta-business-agent](https://www.wearedevelopers.com/jobs/ext/1973213-business-support-engineer-meta-business-agent). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Business Support Engineer - Meta Business Agent

- **Company:** The Meta Game, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $114,000.0 - $167,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, JavaScript (Programming Language), PHP (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Software Bug Management, Computer Engineering, Data Transformation, Software Debugging, Distributed Systems, Python (Programming Language), Open Source Technology, Reliability Engineering, Software Engineering, SQL Databases, Google Cloud, Pytorch, ReactJS, System Availability, Large Language Models, Kubernetes, Information Technology, Performance Monitor, Api Design, Restful APIs, GPT, Docker
- **Published:** August 7, 2026
- **Apply:** https://www.juju.com/job/00000000gm0j8o

## About the Role

11. 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

 12. 3+ years of experience in Software Engineering or Site Reliability Engineering

 13. Proven experience in API development on cloud-based infrastructures, being able to debug, identify root causes and resolve independently outages impacting Meta Partners

 14. Experience with the full web stack, REST APIs, Python, PHP/Hack, and JavaScript/React development, along with debugging and bug management

 15. Knowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as LLaMA, GPT, Claude, Falcon, etc

 16. Experience in communicating with technical and business audiences and writing technical documentation

 17. Experience in assessing, analyzing, and resolving operational issues using data analysis (SQL)

Preferred Qualifications:

Preferred Qualifications:

 18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

 19. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers

 20. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

 21. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

 22. Experience in partner-facing or customer-centric engineering roles

 23. Experience building and deploying solutions on cloud platforms (e.g., AWS, GCP, Azure)

 24. Hands-on experience working with large language models and AI agents

 25. Success in cross-cultural engineering environments with international stakeholders

 26. Experience with data transformation, model selection/training/optimization, and deployment at scale

## 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., 1. Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfaction

 2. Troubleshoot large-scale distributed systems and partner integrations, maintaining high code quality and operational standards

 3. Leverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindset

 4. Build, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to production

 5. Develop performance monitoring systems for partner integrations to ensure high availability

 6. leverage metrics to proactively identify issues and drive improvements across teams

 7. Provide 24/7 oncall support coverage via rotation schedule (including weekends)

 8. Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvement

 9. Create clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externally

 10. Drive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Build recognized AI/ML expertise, actively coach and mentor peers on technical troubleshooting and project execution


## Related Videos

- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app)
- [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs)
- [Prompt Engineering Your Career: AI Agents for Tech Interview Prep](https://www.wearedevelopers.com/videos/100227-prompt-engineering-your-career-ai-agents-for-tech-interview-prep)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)