Data Scientist - Information Technology

Overview

At Service Link, 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.

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.

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.

• 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.

• 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.