Full Stack Software Engineer

Summary

Join SES AI as a Full-Stack Engineer to design and implement robust systems for handling large-scale datasets and delivering web-based AI model pipelines. You will architect and optimize scalable databases, develop robust APIs and backend solutions, and build end-to-end pipelines to deploy AI models as a user-facing web product. The ideal candidate will have expertise in scalable backend systems, database architecture, and frontend development, along with experience in deploying AI/ML workflows. This role offers a competitive salary range of $90,000-$133,000, plus comprehensive benefits. The position can be remote or onsite in Woburn, MA.

Requirements

• Experience: 3–5 years of industrial experience in full-stack development and database design
• Frontend Expertise: Proficiency with React.js, Angular, or similar frameworks
• Backend Expertise: Strong experience with Node.js, Express, Flask, or FastAPI; working knowledge of relational and non-relational databases (e.g., MongoDB, Neo4j, SQL)
• Scalability: Proven ability to design and implement scalable systems with efficient data handling
• AI/ML Experience: Familiarity with integrating AI/ML models into web platforms
• Collaboration Skills: Excellent communication and teamwork skills, with experience working across multidisciplinary teams

Responsibilities

• Architect, implement, and optimize scalable databases capable of handling large dataset storage, search, retrieval, and transfer operations
• Develop robust APIs and backend solutions using Node.js, Python (Flask/FastAPI), or similar technologies
• Design and implement secure and efficient data pipelines for AI model integration
• Build end-to-end pipelines to deploy AI models as a user-facing web product
• Integrate AI model workflows into web-based platforms, ensuring efficient model execution and result delivery
• Collaborate with data scientists and AI researchers to align on deployment strategies and optimization
• Develop user-friendly, responsive web interfaces using frameworks such as React or Angular
• Ensure seamless interaction between the frontend and backend, providing a smooth user experience for running AI models
• Implement tools and features that allow users to visualize AI model outputs effectively
• Design and implement scalable system architectures for high-performance web applications
• Optimize system performance to ensure reliability under high data and user load
• Implement best practices for cloud-based deployment and containerized solutions (e.g., Docker, Kubernetes)

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, or Azure) and distributed computing
• Familiarity with numerical computing and scientific data workflows
• Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and deployment practices
• Understanding of security best practices for web and data systems

Benefits

• Company paid Health and Dental insurance (ability to add dependents)
• Global travel insurance for employees traveling while on business
• Company sponsored retirement plan with 100% vesting and up to 5% match
• Life and AD&D Insurance
• Employee Assistance Program
• Six Paid Holidays, and one floating holiday per a quarter equivalent to 4 per calendar year
• 10 accrued vacation days per calendar year that increases with tenure
• Bonus + Equity, based on position and eligibility requirements