OverviewIn 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.
