Senior Full Stack Engineer

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September 10

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Innodata Inc.

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(NASDAQ: INOD) Innodata is a global data engineering company delivering the promise of AI to many of the world’s most prestigious companies. We provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers.

1001 - 5000 employees

📋 Description

• Develop and maintain scalable web applications using React and Node.js • Collaborate with cross-functional teams to define, design, and deploy new features • Write clean, maintainable code with a focus on performance and scalability • Integrate with RESTful APIs and third-party services, including LLM APIs • Build and optimize queries for RDBMS systems (MySQL preferred) • Participate in code reviews, agile ceremonies, and product design discussions • Contribute to system architecture planning and documentation • Deploy and monitor applications using CI/CD pipelines and container-based environments

🎯 Requirements

• 5–7 years of experience in full-stack software development • Proficiency in React, Node.js, and TypeScript • Solid understanding of RDBMS systems (preferably MySQL) • Strong foundation in software architecture, data structures, and algorithms • Experience with REST APIs and application security (OAuth2.0, JWT) • Familiarity with Agile/Scrum methodologies • Experience with NoSQL databases (especially Elasticsearch) (preferred) • Working knowledge of LLM APIs or integrating with AI/ML services (preferred) • Familiarity with message queuing systems (e.g., Kafka) (preferred) • Experience with containerized environments (Docker, Kubernetes) (preferred) • Knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions) (preferred) • Excellent communication, presentation, and collaboration skills • Strong time management and organizational abilities • Self-starter attitude with a customer-centric mindset • Ability to work in a multicultural and fast-paced environment • Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Linguistics, Localization or a related field