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Full time
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Senior AI Developer

Aquent TalentSouthlake, Texas🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to design and deploy cutting-edge AI solutions, significantly impacting how global clients find talent, while continuously developing your technical and leadership skills. You'll thrive here if you're a seasoned AI developer passionate about building scalable ML models and LLM-driven features within a flexible, people-first environment. Apply now to shape the future of work and grow your career!

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Southlake, Texas, United States
DockerGCPMicroservicesSQLAWSETLMLOpsMachine LearningNLPAzureDeep LearningKubernetesLLMPython

Job Description

Aquent Talent seeks a Senior AI Developer to design and deploy cutting-edge AI solutions that power talent matching and digital experiences for global clients. You'll build scalable ML models, LLM- and NLP-driven features, and data pipelines that improve how companies find and engage creative and marketing talent. Partnering with cross-functional teams, you'll own projects from experimentation through production, mentor engineers, and establish best practices. Join a people-first, inclusive, flexible environment where you can shape the future of work and continuously grow your technical and leadership skills.

Responsibilities

  • Design, build, and deploy advanced AI and machine learning solutions for Aquent Talent and its clients
  • Develop scalable models and APIs that power talent matching, personalization, and workflow automation
  • Partner with product, data, and engineering teams to translate business needs into AI-driven features
  • Evaluate and implement state-of-the-art models (LLMs, NLP, recommendation systems, predictive analytics)
  • Optimize models for performance, cost, and reliability in production environments
  • Establish best practices for data pipelines, experimentation, and model lifecycle management
  • Mentor junior engineers and contribute to architecture, code reviews, and technical standards
  • Monitor AI systems in production, analyze results, and iterate based on performance and user feedback

Required Skills

  • Python
  • Machine learning engineering
  • Deep learning frameworks (Tensor
  • Flow/Py
  • Torch)
  • Natural language processing (NLP)
  • Large Language Models (LLMs) and prompt engineering
  • MLOps and model deployment (Docker, Kubernetes, CI/CD)
  • Cloud platforms (AWS, GCP, or Azure)
  • Data engineering (ETL, data pipelines)
  • SQL and No
  • SQL databases
  • API design and microservices

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