Sr AI Engineer

UnifyCX; United States; On-site; USD 100,000 - 720,000; Full time

Job summary

UnifyCX is seeking a Senior AI Engineer to join their innovative team. This role involves engineering production-grade machine learning systems and collaborating with cross-functional teams to transform customer experience using AI. Candidates should have a strong background in AI technologies and proven experience in deploying scalable models.

Qualifications

• 3+ years of experience in AI/ML engineering with production deployments.
• Strong knowledge of Transformer models and multimodal datasets.
• Experience in designing scalable ML pipelines.

Responsibilities

• Architect and implement agentic workflow frameworks.
• Build and deploy production-grade AI models for CX applications.
• Optimize model performance for low-latency requirements.

Skills

Python

Machine Learning

AI Safety Techniques

Model Optimization

Education

Master’s degree in Computer Science, Machine Learning or related field

Tools

PyTorch

TensorFlow

Job description

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Senior AI Engineer

Senior AI Engineer

UnifyCX is pioneering AI-driven customer experience solutions at scale, blending cutting-edge technology with human-centric design. Our AI Engineering team is looking for a Sr AI Engineer to drive our most ambitious projects forward!

Our environment is dynamic and experiment-driven, and you’ll have the opportunity to shape solutions that transform the CX landscape for businesses worldwide. If you’re excited about being on the cutting edge of AI research and deployment, we want to hear from you

About The Role

As a Senior AI Engineer, you will partner with cross-functional teams to engineer production-grade ML systems that power AI–human interactions across text, voice and multimodal channels. You will tackle end-to-end challenges—from domain-aware intent recognition, content intelligence and conversational analytics to data-efficient training pipelines and privacy-preserving guardrails.

You will be architecting and implementing robust agentic workflow frameworks for autonomous, multi-step decision-making and process automation, then prototype, optimize and deploy high-performance models at scale—balancing low-latency, high-throughput SLAs with rigorous governance, monitoring and reliability. Collaborating closely with product, UX and infrastructure, you will be designing containerized, distributed inference and CI/CD pipelines that elevate our enterprise CX AI solutions.

What You Will Do

• Architect and implement agentic workflow frameworks for autonomous, multi-step decision-making and process automation
• Build and deploy production-grade AI models for text, voice, and multimodal CX applications
• Design data-efficient training pipelines with a strong emphasis on privacy, safety, and compliance
• Optimize model performance to meet low-latency, high-throughput service level agreements (SLAs)
• Collaborate with product, UX, and infrastructure teams to deliver distributed inference systems and CI/CD pipelines
  
  

Qualifications

Required:

• Master’s degree in Computer Science, Machine Learning, Statistics, or related field
• 3+ years of industry experience in AI/ML engineering (or applied research), including 2+ years deploying models in production
• Proficient in Python with hands-on experience in PyTorch or TensorFlow (custom architectures, tuning, model serving)
• Strong knowledge of Transformer models (e.g., BERT, GPT), RNNs, and text embedding methods
• Experience working with speech or multimodal datasets
• Demonstrated ability to deliver scalable, production-ready ML pipelines under strict SLAs
• Experience designing agentic workflows or orchestration protocols (e.g., LangChain-style pipelines, custom controllers)
• Experience implementing AI safety techniques, including the development of guardrails, content filtering, and model alignment strategies to ensure responsible and controlled AI behavior in production environments.
  
  

Preferred

• Expertise in privacy-preserving ML (federated learning, differential privacy), AI safety, and content filtering
• Familiarity with inference optimization (quantization, distillation, hardware acceleration)
• Proficiency in MLOps tooling and CI/CD workflows for scalable model deployment
• Experience with distributed inference tools (ONNX Runtime, TensorRT) and serving frameworks (Kubernetes, serverless)
  
  

Who We Are

At UnifyCX, we’re redefining how artificial intelligence enhances human-centered services. Our team—backed by global expertise and nearly two decades of growth—specializes in delivering real-world AI solutions that transform customer experience (CX). We combine the best of AI-driven innovation with a thoughtful, people-first approach to empower businesses with scalable, efficient, and personalized service solutions.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Business Consulting and Services

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