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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** ITradenetwork, Inc. - **Location:** Mountain View, CA, United States - **Experience:** Experienced - **Salary:** $98,900.0 - $117,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Logic, Artificial Neural Networks, Microsoft Azure, Big Data, Code Review, Continuous Integration, Data Validation, Data Structures, Web Development, Python (Programming Language), Machine Learning, NoSQL, Object-Oriented Software Development, Query Optimization, Tensorflow, Software Engineering, SQL Databases, Web Services, Cloud Platform System, Data Ingestion, Pytorch, ReactJS, Delivery Pipeline, Large Language Models, Prompt Engineering, Model Validation, Backend, AngularJS, Scikit Learn, Information Technology, Production Code, Data Analytics, Machine Learning Operations, Front End Software Development, Unsupervised Learning, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-mountain-view-ca--df5f5c8c-81e8-4ed8-9a13-83660809f5d0 ## About the Role Software Engineering, Food and Beverage Industry, Supply Chain Management Software, Food Delivery, Purchasing/Procurement, Distribution Channel, Maintain Compliance, Leading Edge Technology, Risk Management, Inventory Management, * Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience). * 2-3 years of professional software engineering experience, including shipping and maintaining production code, ideally on AI/ML-enabled or data-intensive applications. * Solid working knowledge of data structures, algorithms, object-oriented programming, and software design fundamentals, applied to write clean, testable code. * Working knowledge of core AI/ML concepts: supervised and unsupervised learning, neural networks, model evaluation, and how models are deployed and served in production. * Proficiency in Python (strongly preferred given its centrality to the ML ecosystem) or another backend language, with experience building and maintaining APIs and services. * Hands-on professional experience with web development (React, Angular, or comparable framework) building user-facing features. * Working experience with both SQL and NoSQL databases, including schema design and query optimization. * A problem-solving mindset and genuine curiosity about how AI can change the way software works. Nice to Have: * Hands-on experience with Python ML libraries: TensorFlow, PyTorch, or Scikit-learn. * Experience with cloud platforms (AWS, GCP, or Azure) and deploying ML workloads in the cloud. * Experience integrating LLM APIs, prompt engineering, or retrieval-augmented generation (RAG) patterns into applications. * Working knowledge of MLOps tooling: experiment tracking, model registries, CI/CD for ML pipelines. * Experience taking an AI/ML application from prototype to production, whether in a professional setting or through significant project work., * Must be able to demonstrate lawful ability to work in the United States ## Description We value speed and avoid analysis paralysis. We develop conviction, make informed decisions quickly, and take calculated risks to maintain momentum - knowing that swift progress is essential for innovation and growth. Customer Obsession We work relentlessly to delight our customers. We work backward from their needs to solve pain points and create solutions that surprise and earn their loyalty. We obsess over customers, not competitors. Data & Metrics Driven We operate with facts, not opinions. We dive deep into data and use metrics to measure progress, ground every decision in rigorous analysis, and push for clarity and measurable outcomes. Raise the Bar We continuously push for improvement - in ourselves, our teams, and the company. We hire and develop exceptional talent, setting ever-higher standards that elevate performance and drive excellence. Operational Excellence Through Process We build lasting processes that optimize for efficiency. By developing, testing, and documenting each process, we create consistency and scale through automation, enabling continuous improvement across the business. Ownership Mindset We take responsibility for our work and aim for long-term success. We use resources wisely, stay accountable, and roll up our sleeves to get things done - no task is beneath us. Earn Trust We build trust through integrity, transparency, and mutual respect. We communicate openly, own our mistakes, listen actively, and remain open to feedback as an opportunity for growth., * Design, build, and ship AI-powered full stack features - from model integration to user-facing interfaces - using modern frameworks and cloud-native infrastructure, with growing independence on well-scoped work. * Partner with data scientists to productionize ML models: wrapping them in APIs, implementing and tuning inference pipelines, and monitoring performance and reliability in live environments. * Build and maintain data pipelines that support model training, validation, and deployment workflows, including data quality checks and basic observability. * Develop frontend experiences (React or similar) that surface AI-driven insights in intuitive, responsive interfaces. * Develop and maintain backend services and microservices that power model serving, data ingestion, and business logic - writing well-tested, documented code and helping troubleshoot and resolve production issues. * Participate in code reviews and collaborative design discussions - giving constructive feedback to peers, incorporating feedback from senior engineers, and contributing your own perspective. * Stay current with the AI/ML landscape and bring practical ideas back to the team - new tooling, frameworks, and LLM techniques - through small evaluations, prototypes, or demos.