Staff AI Engineer (L4)

Maine Tech Hub; Portland (ME); In loco; USD 185.000 - 217.000; Tempo pieno

Descrizione del lavoro

WEX Inc. in South Portland, Maine seeks a Staff AI Engineer to lead production ML systems and shape AI strategy across platforms. You’ll mentor engineers, architect scalable solutions, and collaborate with product teams to turn challenges into reliable AI capabilities.

You will own end-to-end ML workflows, deploy via CI/CD, and work with cloud platforms and data pipelines to deliver high-impact AI features for customers and the business.

Competenze

• 8+ years of experience in AI/ML/engineer roles focusing on production ML systems.
• Production experience delivering AI solutions at scale using Java, C#, Go, or Python.
• Experience with distributed systems, microservices, and model serving.
• Strong collaboration with stakeholders and leadership.

Mansioni

• Technical Strategy & Architecture: translate customer challenges into robust AI designs and strategies.
• End-to-End Ownership: build and deploy high-performance AI/ML platforms with reliability and security.
• Advanced Model Development: lead development, evaluation, tuning, and monitoring of production models (LLMs, RAG).
• Operational Excellence: design CI/CD pipelines and IaC to automate deployments.
• Reliability & Scale: monitor systems, lead incident response, drive refactoring to remove bottlenecks.
• Mentorship: mentor junior engineers and conduct code reviews.
• Innovation: evaluate new AI tech and prototype new approaches.

Conoscenze

AI/ML Engineer

Data Scientist

Software Engineer

Production ML systems

Python

Java

C#

Go

LLM

RAG

Distributed systems

Microservices

Kubernetes

AWS

CI/CD

Terraform

SQL

NoSQL

Formazione

Bachelor’s degree in Computer Science or related field

Master’s or PhD in AI/ML preferred

Strumenti

LangChain

LlamaIndex

vLLM

PyTorch

TensorFlow

Scikit-learn

GitHub Actions

Terraform

Kubernetes

AWS

Descrizione del lavoro

at WEX Inc. in South PortlandSouth Portland, Maine, United States

Job Description

About the Team

We are a fast-growing AI Engineering team, driving WEX's strategic vision to integrate artificial intelligence into the core of our product and business. Our team thrives on collaboration, working directly with stakeholders and domain experts to develop innovative AI platforms and solutions that enhance decision-making and create groundbreaking products that benefit our customers and help them to effectively grow their business. We foster a culture of continuous learning and believe that the best work stems from a shared purpose and an enjoyable, engaging environment.

How You'll Make an Impact

You are an experienced technical leader and subject matter expert with a deep passion for AI, Machine Learning, and software engineering. You possess a proven track record of architecting scalable systems and solving complex ambiguity using data-driven tools. You will act as a force multiplier for the team-setting technical standards, mentoring junior engineers, and partnering with product leadership to turn abstract business goals into production-grade AI solutions.

Responsibilities

• Technical Strategy & Architecture: Partner with stakeholders to translate complex customer challenges into robust technical designs and AI strategies.
• End-to-End Ownership: Architect, build, and deploy high-performance AI/ML platforms and tools, ensuring scalability, reliability, and security.
• Advanced Model Development: Lead the development, evaluation, fine-tuning, and monitoring of production-grade AI/ML models (including LLMs and RAG architectures).
• Operational Excellence: Design and standardize CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform) to ensure reproducible and automated deployments.
• Reliability & Scale: Proactively monitor system health, lead incident response for critical AI systems, and drive architectural refactoring to remove bottlenecks.
• Mentorship: Mentor L1/L2 engineers, conduct code reviews, and foster a culture of engineering excellence and best practices.
• Innovation: Evaluate emerging AI technologies/vendors and prototype new approaches to keep the organization at the cutting edge of the industry.

Experience You’ll Bring

• 8+ years of experience as an AI/ML Engineer, Data Scientist, or Software Engineer with a heavy focus on production ML systems.
• Bachelor’s degree in Computer Science, Software Engineering, or related field; a Master’s or PhD in AI/ML is preferred.
• Production expertise: Proven track record of taking AI solutions from concept to high-scale production using Java, C#, GoLang, or Python.
• LLM Proficiency: Deep experience with Generative AI, including prompting strategies, RAG (Retrieval-Augmented Generation), fine-tuning, and agentic workflows.
• System Design: Strong ability to design distributed systems and microservices architectures for model serving.
• Collaboration: Demonstrated ability to lead technical discussions with non-technical stakeholders and drive consensus.
• Experience in the financial or fintech industry is a plus.

Technical Skills

• Expert proficiency in Python (preferred) or other core languages (Java, Go, C#).
• Deep knowledge of modern ML frameworks (PyTorch, TensorFlow, Scikit-learn) and LLM orchestration (LangChain, LlamaIndex, vLLM).
• Advanced understanding of MLOps principles, feature stores, and model monitoring.
• Solid grasp of advanced probability, statistics, and linear algebra.
• Extensive hands‑on experience with Kubernetes (deploying and managing clusters) and Cloud platforms (AWS preferred).
• Strong command of CI/CD methodologies and Infrastructure as Code (Terraform).
• Excellent data engineering skills (SQL, NoSQL, data lakes, and processing pipelines).

Key Words:

Staff AI Engineer, MLOps, Generative AI, LLM, RAG, Distributed Systems, Software Architecture, Technical Leadership.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.

Pay Range: $185,000.00 - $217,400.00

Equal Opportunity Employer/Vets/Disability