Full Stack Software Engineer

Job Summary

We are seeking a strong Full-Stack Engineer to design and implement robust systems for handling large-scale datasets and delivering web-based AI model pipelines. The ideal candidate will have expertise in scalable backend systems, database architecture, and frontend development, as well as experience in deploying AI/ML workflows to end-users.

Key Responsibilities:

Database and Backend Systems

- 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.

AI Model Product Pipeline Development

- 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.

Web-Based Platform Development

- 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.

System Design and Scalability

- 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).

REQUIRED Qualifications

- 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.

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.

- Seniority LevelEntry level

- Industry

- Services for Renewable Energy

- Employment TypeFull-time

- Job Functions

- Engineering

- Information Technology

- Skills

- Full-Stack Development

- Back-End Web Development

- Artificial Intelligence (AI)

- Stack

- Machine Learning

- Databases

- Data Architecture

- Architecture

- HTML

Job Type: Full-time

Pay: From $120,000.00 per year

Benefits:

- 401(k)

- 401(k) 5% Match

- AD&D insurance

- Bereavement leave

- Dental insurance

- Dependent health insurance coverage

- Flexible spending account

- Free parking

- Health insurance

- Life insurance

- Paid holidays

- Paid parental leave

- Paid sick time

- Referral program

- Vision insurance

Work Location: Hybrid remote in Woburn, MA 01801