Overview
At ServiceLink, we believe in pushing the limits of what’s possible through innovation. We’re looking for a highly skilled AI Engineer to design and implement advanced AI solutions that transform the mortgage industry. In this role, you’ll work on fine-tuning Large Language Models (LLMs), applying reinforcement learning techniques, developing multi-agent systems, and leveraging Generative AI for intelligent data retrieval and visualization. Your work will enable natural language-driven insights and empower decision‑making through cutting‑edge AI technologies.
This is a hybrid role, and will be required to work in‑office at our Plano, TX office at least 3 days per week. Candidates must be located within reasonable commuting distance of Plano, TX and be willing to work in‑office on a regular basis.
Applicants must be currently authorized to work in the United States on a full‑time basis and must not require sponsorship for employment visa status now or in the future.
A DAY IN THE LIFE
In this role, you will…
- Build and deploy AI Agents and Tools.
- Design and implement reinforcement learning algorithms and multi-agent systems to solve complex business challenges.
- Develop GenAI‑based solutions for intelligent data retrieval.
- Collaborate with cross‑functional teams—including Data Engineering, Product, and Infrastructure to ensure secure, scalable, and efficient AI deployments.
- Stay ahead of emerging trends in AI research and apply best practices to deliver innovative, business‑aligned solutions.
WHO YOU ARE
You possess …
- A strong technical foundation in Computer Science, Engineering, or a related field, and 2+ years of experience in AI/ML development.
- Hands‑on expertise in fine‑tuning LLMs, reinforcement learning, multi‑agent systems, and generative AI applications.
- Proficiency in Python and familiarity with modern AI frameworks and cloud platforms (preferably Microsoft Azure).
- Experience operationalizing AI models using MLOps best practices.
- Strong problem‑solving skills and the ability to translate complex technical concepts into actionable insights.
- A collaborative mindset and excellent communication skills to work effectively in interdisciplinary teams.
Responsibilities
- Build and deploy AI Agents for workflow automation tasks.
- Develop and fine‑tune LLMs for domain‑specific applications.
- Implement reinforcement learning algorithms and multi‑agent architectures for intelligent automation.
- Create GenAI‑powered solutions for natural language‑driven data retrieval and visualization.
- Build robust MLOps pipelines for model deployment and monitoring.
- Collaborate with stakeholders to align AI solutions with business objectives.
- Continuously research and apply state‑of‑the‑art AI techniques to improve system performance.
- All other duties as assigned.
Qualifications
- Bachelor’s degree in computer science, Engineering, or related discipline.
- Project experience in LLM fine‑tuning, reinforcement learning, multi‑agent systems, and generative AI.
- Strong programming skills in Python.
- Excellent communication and collaboration skills.