Find Lead software development engineer api platform Jobs in Dublin, D

Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
- Master's degree
- SQL
- JavaScript
Account Executive, Growth
Learnosity —Dublin, County Dublin
- €80,000–€100,000 a year
- Full-time
- Hybrid work
- Salesforce
- Master's degree
- AI
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8d
Business Development Executive
Learnosity —Dublin, County Dublin
- €45,000–€50,000 a year
- Full-time
- Hybrid work
- Computer Science
- Sales
- Salesforce
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8d
Software Engineer - Web & Integrations
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Java
- AWS
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Account Executive, Growth
Learnosity —Dublin, County Dublin
AI-aware: stays current with developments in LLMs, generative AI, and their application to education and assessment; can engage buyers on these topics with…
€80,000–€100,000 a year
Quick apply
8d
Technical Account Manager, Enterprise Support, Strategic Industries, Energy
Amazon Web Services EMEA SARL (Irish Branch) —Dublin, County Dublin
You’ll also have the chance to receive mentor-ship and active support to achieve AWS certifications. If you have a disability and need a workplace accommodation…
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Business Support Engineer

Meta -
Dublin, County Dublin

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Job details

Qualifications

Law
React
Kubernetes
Master's degree
SQL
Docker
JavaScript
REST
AI
Python
Debugging

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 deep experience in API development, debugging, and AI-driven solutions and a track record of improving end-to-end support experiences.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.

Business Support Engineer Responsibilities:

Architect global troubleshooting methodologies and escalation frameworks to enhance the team's operational excellence and engineering standards
Co-Lead the team's AI-native technical strategy, driving large-scale adoption of AI tools to transform support workflows and value delivery
Build, launch, and optimize complex AI architectures 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)
Partner with internal and cross-functional leadership to identify systemic support issues and influence roadmaps with data-driven proposals to eliminate root causes
Set technical communication standards, authoring reference architectures, and representing the team internally and externally
Manage complex, cross-functional programs while fostering continuous AI/ML learning within the team
Lead zero-to-one initiatives, anticipating future platform and partner needs

Minimum Qualifications:

8+ Years of experience as Software engineering or Site Reliability Engineering background
Proven experience in API development on cloud-based infrastructures, being able to debug, identify root causes and resolve independently any outages that are 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 of 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)

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)
Hands-on experience working with large language models and AI agents
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience collaborating in cross-cultural engineering environments with international stakeholders
Experience transforming data, model selection/training/optimization, and deployment at scale
Experience building cloud solutions on any cloud
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

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.

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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