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…
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Build and deploy AI Agents and Tools.
- Design and implement reinforcement learning algorithms and multi-agent systems to solve complex business challenges.
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Develop GenAI-based solutions for intelligent data retrieval.
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Collaborate with cross-functional teams—including Data Engineering, Product, and Infrastructure—to ensure secure, scalable, and efficient AI deployments.
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Stay ahead of emerging trends in AI research and apply best practices to deliver innovative, business-aligned solutions.
WHO YOU ARE
You possess …
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A strong technical foundation in Computer Science, Engineering, or a related field, and 2+ years of experience in AI/ML development.
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Hands-on expertise in fine-tuning LLMs, reinforcement learning, multi-agent systems, and generative AI applications.
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Proficiency in Python and familiarity with modern AI frameworks and cloud platforms (preferably Microsoft Azure).
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Experience operationalizing AI models using MLOps best practices.
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Strong problem-solving skills and the ability to translate complex technical concepts into actionable insights.
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A collaborative mindset and excellent communication skills to work effectively in interdisciplinary teams.
Responsibilities:
- Build and deploy AI Agents for workflow automation tasks.
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Develop and fine-tune LLMs for domain-specific applications.
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Implement reinforcement learning algorithms and multi-agent architectures for intelligent automation.
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Create GenAI-powered solutions for natural language-driven data retrieval and visualization.
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Build robust MLOps pipelines for model deployment and monitoring.
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Collaborate with stakeholders to align AI solutions with business objectives.
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Continuously research and apply state-of-the-art AI techniques to improve system performance.
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All other duties as assigned.
Qualifications:
- Bachelor’s degree in computer science, Engineering, or related discipline.
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Project experience in LLM fine-tuning, reinforcement learning, multi-agent systems, and generative AI.
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Strong programming skills in Python.
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Excellent communication and collaboration skills.
