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

SES

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