Celerity It-posted 9 months ago
Full-time • Mid Level
Remote • McLean, VA
Professional, Scientific, and Technical Services

Join a workplace that thrives on collaboration and support, consisting of individuals who are not only experts in their fields but also kind, smart, fun, and passionate about what they do. Teamwork isn't just encouraged - it's the way we operate. At Randstad Digital Advisory, we strive to provide opportunities to learn and grow, from on-the-job coaching to online courses to continuous feedback. Our employees have the autonomy to do their best work, using their skills to make a meaningful impact both within the team as well as for our diverse clientele. We offer attractive pay, a well-rounded benefits package, and flexible working arrangements (including work-from-home when possible).

  • Design, develop, and deploy AI-powered applications using modern frontend and backend technologies.
  • 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.
  • Build and maintain scalable, high-performance APIs, microservices, and database solutions for AI-driven applications.
  • Work with structured and unstructured datasets, designing efficient data pipelines for AI model training and inference.
  • Deploy AI applications on AWS, Azure, or GCP, utilizing containerization (Docker, Kubernetes) and MLOps best practices.
  • Build intuitive user interfaces and dashboards for AI-powered applications using React, Angular, or Vue.js.
  • Continuously monitor and enhance AI inference speed, API response times, and application efficiency.
  • Ensure applications follow best practices for security, data privacy, and regulatory compliance (e.g., HIPAA for healthcare solutions).
  • Identify opportunities to automate business processes through AI-enhanced applications.
  • 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.
  • Attractive pay
  • Well-rounded benefits package
  • Flexible working arrangements (including work-from-home when possible)
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