AI/ML Software Engineer

About the role

iTradeNetwork is an AI-first company dedicated to feeding the world through advanced supply chain software and insights tailored for the food and beverage industry. Our mission is to innovate and deliver solutions that minimize food waste, optimize inventory, manage compliance risk, and scale profitability.

Responsibilities

• Build and ship AI-powered full stack applications — from model integration to user-facing interfaces — using modern frameworks and cloud-native infrastructure.
• Partner with data scientists to bring ML models into production: wrapping them in APIs, optimizing inference pipelines, and monitoring performance in live environments.
• Own end-to-end data pipelines that support model training, validation, and deployment workflows.
• Develop frontend experiences (React or similar) that surface AI-driven insights in intuitive, responsive interfaces.
• Contribute to backend services and microservices that power model serving, data ingestion, and business logic.
• Participate in code reviews and collaborative design discussions — learning from senior engineers while sharing your own perspective.
• Stay current with the AI/ML landscape: new architectures, tooling, and frameworks move fast, and so do we.

Requirements

• Bachelor’s degree in Computer Science or a related technical field (or equivalent practical experience).
• Solid grounding in data structures, algorithms, and object-oriented programming.
• Understanding of core AI/ML concepts: supervised and unsupervised learning, neural networks, model evaluation.
• Proficiency in at least one backend language — Python strongly preferred given its centrality to the ML ecosystem.
• Hands-on experience with web development (React, Angular, or comparable framework).
• Comfort with both SQL and NoSQL databases.
• A problem-solving mindset and genuine curiosity about how AI can change the way software works.

Qualifications

• Required:
• Experience with Python ML libraries: TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying ML workloads in the cloud.
• Exposure to LLM APIs, prompt engineering, or retrieval-augmented generation (RAG) patterns.
• Knowledge of MLOps tooling: experiment tracking, model registries, CI/CD for ML pipelines.
• Project or coursework experience building AI/ML applications end-to-end.

Skills

• Think AI-first — approach problems with intelligence built into the solution.
• Move fast and learn faster — comfortable with ambiguity and excited by change.
• Communicate clearly and collaborate naturally across disciplines.
• Take ownership — find the next important thing and work on it.
• Care about craft — clean code, thoughtful documentation, and systems that are built to last.

Benefits

• Competitive salary packages
• Comprehensive medical, dental, vision, and life insurance benefits for you and your family
• Flexible PTO for exempt employees and competitive PTO for non-exempt
• Paid parental leave for eligible employees
• 401(k) matching
• Great health & well-being benefits including Teladoc for general medical and mental health care

Additional Requirements

• Must be able to demonstrate lawful ability to work in the United States