Senior Full Stack Engineer – AI & Data Platforms

Job Description

Senior Full Stack Engineer – AI & Data Platforms | Innovate Solutions Inc.

The Tone:
This is a full-time role at Innovate Solutions Inc. The company builds intelligent platforms that help businesses make data-driven decisions and automate complex processes. This role is important for designing and implementing robust, scalable, and user-friendly solutions, bridging sophisticated backend AI models and intuitive frontend user experiences.

The TL;DR
• Role: Full Time
• Type: Full-time
• Mission: To bridge the gap between sophisticated backend AI models and intuitive frontend user experiences by designing and implementing robust, scalable, and user-friendly solutions.
• Tech Stack: React, Angular, Vue.js, HTML5, CSS3, JavaScript, TypeScript, Python, Node.js, Java, Go, RESTful API, PostgreSQL, MySQL, MongoDB, Cassandra, AWS, Azure, GCP, Docker, Kubernetes, Git, CI/CD, Spark, Kafka, TensorFlow, PyTorch

What You’ll Actually Do
• Design: Design, develop, and maintain scalable full-stack applications using modern web technologies and frameworks.
• Build: Build and optimize APIs and microservices that serve as the backbone for AI model deployment and data ingestion pipelines.
• Collaborate: Collaborate closely with AI/ML engineers, data scientists, and product managers to translate complex requirements into technical specifications and deliver innovative features.
• Develop: Develop robust and responsive user interfaces that provide seamless interaction with AI-powered features and data visualizations.
• Ensure: Ensure the performance, quality, and responsiveness of applications, including participating in code reviews and implementing testing strategies.

The Must-Haves
• Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, indicating a senior professional level.
• Experience: 5+ years of professional experience in full-stack software development, with extensive experience in RESTful API design, database systems (relational and NoSQL), cloud platforms (AWS, Azure, GCP), and containerization technologies (Docker, Kubernetes).
• Skills: Strong proficiency in at least one modern frontend framework (e.g., React, Angular, Vue.js) with associated tooling, expertise in backend development languages (Python, Node.js, Java, or Go), solid understanding of software engineering best practices (Git, testing, CI/CD, agile), excellent problem-solving skills, and strong communication skills.
• Bonus: Experience working with data pipelines or big data technologies (e.g., Spark, Kafka), familiarity with machine learning concepts or frameworks (TensorFlow, PyTorch), and prior experience with real-time data streaming or event-driven architectures.