AI Engineer- Application Developer

Celerity - now Randstad Digital; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

Join a leading company as an AI Engineer - Application Developer, where you will design and deploy AI-powered applications. This fully remote role requires expertise in full-stack development and AI/ML integration, offering a competitive salary and benefits.

Benefits

Health coverage

Incentives

Recognition programs

401K contributions

Qualifications

• 5+ years of experience in full-stack development, including AI/ML integration.
• Strong programming skills in Python, JavaScript (Node.js), or Java.
• Hands-on experience with LLMs and Generative AI models.

Responsibilities

• Design, develop, and deploy AI-powered applications using modern technologies.
• Implement and optimize machine learning and Generative AI models.
• Build and maintain scalable APIs and microservices for AI applications.

Skills

Python

JavaScript

Java

AI/ML Integration

Frontend Development

RESTful APIs

GraphQL

Cloud Deployment

Containerization

Education

Master’s or bachelor’s degree in computer science, AI, Software Engineering

Tools

TensorFlow

PyTorch

LangChain

Docker

Kubernetes

Job description

Join to apply for the AI Engineer - Application Developer role at Celerity - now Randstad Digital.

Summary
Our client is seeking a highly skilled AI Engineer with expertise in full-stack application development to design, build, and deploy AI-powered applications from end to end. This role involves integrating AI/ML models into scalable, production-ready software, optimizing user experience, and ensuring seamless interaction between AI systems and application interfaces. You will work across the entire development lifecycle, from data processing and model integration to frontend and backend development, ensuring robust and efficient AI-driven solutions.

Role Description

1. Full-Stack AI Development – Design, develop, and deploy AI-powered applications using modern frontend and backend technologies.
2. AI Model Integration – Implement and optimize machine learning and Generative AI (GenAI) models, including LLMs (GPT, Gemini, Claude or similar), NLP, and computer vision models within production systems.
3. End-to-End Application Architecture – Build and maintain scalable, high-performance APIs, microservices, and database solutions for AI-driven applications.
4. Data Engineering & Processing – Work with structured and unstructured datasets, designing efficient data pipelines for AI model training and inference.
5. Cloud Deployment & MLOps – Deploy AI applications on AWS, Azure, or GCP, utilizing containerization (Docker, Kubernetes) and MLOps best practices.
6. Frontend Development – Build intuitive user interfaces and dashboards for AI-powered applications using React, Angular, or Vue.js.
7. Performance Optimization – Continuously monitor and enhance AI inference speed, API response times, and application efficiency.
8. Security & Compliance – Ensure applications follow best practices for security, data privacy, and regulatory compliance (e.g., HIPAA for healthcare solutions).
9. Automation & Workflow Enhancement – Identify opportunities to automate business processes through AI-enhanced applications.

What We’re Looking For

• Master’s or bachelor’s degree in computer science, AI, Software Engineering, or a related field.
• 5+ years of experience in full-stack development, including AI/ML integration into web or mobile applications.
• Strong programming skills in Python, JavaScript (Node.js), or Java, with experience in AI/ML frameworks (TensorFlow, PyTorch, LangChain).
• Hands-on experience developing, fine-tuning, and deploying LLMs and Generative AI models in production environments.
• Expertise in RESTful APIs, GraphQL, and microservices architecture.
• Strong experience with frontend frameworks (React, Angular, or Vue.js) for AI application development.
• Experience with databases (SQL, NoSQL, PostgreSQL, MongoDB, etc.).
• Proficiency in cloud-based deployment (AWS Lambda, Azure Functions, GCP AI Platform).
• Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
• Experience with AI-driven chatbots, recommendation systems, or intelligent automation is a plus.

What You Should Expect in This Role

• Fully Remote Opportunity – Work from anywhere in the U.S.
• Opportunity to develop AI-powered applications at scale in a mission-driven organization.
• Salary range: $130,000 - $180,000, with compensation based on experience, education, and other factors. Benefits include health coverage, incentives, recognition programs, and 401K contributions.