Senior AI ML Engineer
Share
Job Location:
Orlando, FL - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
JOB SUMMARY:
The Senior AI/ML Engineer role will design and build custom AI-powered applications end-to-end from prototype to production focused on delivering measurable business value. The Senior AI/ML Engineer will engineer full AI systems that integrate model capabilities into real products: robust API endpoints agentic or AI workflow orchestration scalable backend services and well-designed data models. Hands-on in implementation deeply involved in system quality and reliability and eager to mentor junior engineers while raising the teams engineering bar.
MAJOR RESPONSIBILITIES:
AI Development
- Architect and implement end-to-end AI solutions including backend services APIs databases and model integration layers.
- Develop and maintain API endpoints (REST/GraphQL) that reliably serve AI capabilities to internal and external consumers.
- Design and implement backend database schemas (relational and/or NoSQL) and data access patterns optimized for AI workloads and application needs.
- Build scalable AI infrastructure patterns (job queues caching streaming async workers) to support low-latency and high-throughput use cases.
- Apply secure engineering practices including authentication/authorization secrets management threat modeling and PII handling.
Engineer AI & Agentic Workflows
- Implement AI pipelines including Retrieval-Augmented Generation (RAG) tool/function calling structured output and agentic workflows.
- Choose appropriate model strategies: prompt-based RAG fine-tuning or hybrid approaches based on cost latency and quality requirements.
- Evaluate and integrate foundation models (open-source and commercial) with attention to licensing security privacy and performance.
AI Evaluation
- Define and implement evaluation frameworks to measure AI system quality (accuracy relevance grounding hallucination rates safety latency cost).
- Create automated test suites for prompts/workflows and regression testing for model and data changes.
- Monitor production systems for drift degradation and reliability issues; establish observability (logs traces metrics) and incident response practices.
Collaboration and Mentorship
- Partner with Product Data Science Data Engineering DevOps and Platform teams to translate requirements into robust technical solutions.
- Mentor junior engineers through code reviews technical guidance and best-practice sharing.
- Lead by example in engineering rigor craftsmanship and pragmatic decision-making.
- Understands and actively participates in Environmental Health & Safety responsibilities by following established UO policy procedures training and team member involvement activities.
- Performs other duties as assigned.
EDUCATION:
- Bachelors degree in computer science Engineering Data Science or a related field is required.
- An advanced degree (Masters or PhD) in a relevant field is strongly preferred emphasizing computer science machine learning robotics or business management.
EXPERIENCE:
- 5 years in software engineering and/or applied AI/ML roles with demonstrated delivery of production systems.
ADDITIONAL INFORMATION:
- AI/ML Expertise: Strong working knowledge of modern ML/GenAI tools (e.g. PyTorch/TensorFlow Hugging Face LangChain/LlamaIndex or similar).
- Backend Engineering: Proven ability to build and maintain backend services and APIs (Python/TypeScript/Java/Go or similar).
- Data & Storage: Experience designing database schemas and working with relational and/or NoSQL databases; familiarity with vector databases is a plus.
- Cloud Proficiency: Proficient in at least one major cloud provider (AWS GCP or Azure) including deployment and managed services.
- Evaluation Discipline: Demonstrated experience measuring AI system quality with repeatable evaluation methods and production monitoring.
- Scaling Mindset: Ability to design systems for performance reliability and maintainability at scale.
- Communication: Strong written and verbal communication skills; able to explain tradeoffs clearly to technical and non-technical stakeholders.
- Mentorship: Eagerness and ability to mentor junior engineers and elevate team practices.
Your talent skills and experience will be rewarded with a competitive compensation package.
Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means.
Universal Orlando Resort. Here you can.
Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM & 2025 Universal Studios. All rights reserved. EOE
Required Experience:
Senior IC
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
