AI Engineer- Application Developer

Celerity IT, LLC.; McLean (VA); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is searching for a talented AI Engineer to develop cutting-edge AI-powered applications. This fully remote role offers the chance to work on full-stack development, integrating AI/ML models into scalable software solutions. You will engage in all aspects of the development lifecycle, from data processing to frontend and backend development, ensuring that applications are efficient, secure, and user-friendly. Join a mission-driven organization where your expertise will help shape the future of AI technology and make a significant impact in various industries.

Qualifications

• 5+ years in full-stack development with AI/ML integration experience.
• Strong programming skills in Python, JavaScript, and Java.

Responsibilities

• Design and deploy AI-powered applications using modern technologies.
• Implement and optimize AI/ML models in production systems.

Skills

Python

JavaScript (Node.js)

Java

AI/ML integration

Performance Optimization

Security & Compliance

Education

Master's degree in Computer Science

Bachelor's degree in AI or Software Engineering

Tools

TensorFlow

PyTorch

Docker

Kubernetes

AWS

Azure

GCP

React

Angular

Vue.js

Job description

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.