AI Data Engineer

Description

**This position currently offers a hybrid schedule that requires travel to Jenkintown, PA office multiple days each week. Candidates must be able to commute to Jenkintown, PA to be considered for hire.

Are you PASSIONATE about delivering best-in-class customer experiences? 

Do you THRIVE learning new technology and making the user experience better? 

Do you want to work for a company that has been recognized as a Best Place to Work for 10 consecutive years?

Then this role was made for you!

Job Title: AI Data Engineer

Location: On-Site, Jenkintown, PA

Reports To: CTO

Division: Technology

Department: IT

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About Us

Scully Company is a fast-growing, innovative company focused on leveraging artificial intelligence to create impactful, real-world solutions. As a small, agile team, we thrive on collaboration, creativity, and quick iteration. We’re looking for a talented and versatile AI Data Engineer to join us as the first dedicated hire in our AI efforts.

This role will be instrumental in laying the groundwork for our AI initiatives. You will take on multiple responsibilities, from designing and building data pipelines to developing and deploying AI models, all while collaborating closely with cross-functional teams across the company. You will report directly to the CTO and be empowered to drive AI projects from conception to delivery, helping us identify opportunities and implement solutions that meet business needs.

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Perks and Benefits

• Working at the #1 Nationally Ranked Best Place to Work in Multifamily.
• Free coffee and discounts in a dynamic, engaging team environment.
• Company events throughout the year.
• Fast-paced work environment with an inviting social atmosphere.
• Hybrid work schedule.
• Continuous learning and training opportunities.
• Mentorship and support throughout your career with Scully Company.
• Competitive salary and comprehensive benefits package.
• Opportunity to build and shape the AI strategy of a growing company.
• Exposure to cutting-edge AI technologies and impactful projects.
• Collaborative, innovative environment with a small, tight-knit team.
• Career growth opportunities in AI, software development, and technology leadership.
• Competitive paid time off.
• Comprehensive benefits package including dental, health, vision, and life insurance.
• Company retirement plan with matching contributions.
• Employee rent discounts 
• Education reimbursement opportunities.

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Role Overview

As the AI Data Engineer, you will be a hands-on contributor, responsible for the entire AI workflow—from collecting and processing data to building and deploying AI models. You will have the unique opportunity to shape the direction of our AI initiatives as the first hire in the internal AI team, while also managing data engineering tasks to ensure smooth data flow for AI applications. You will work cross-functionally with multiple teams to identify AI use cases and develop solutions that deliver tangible value to the business.

This is a hybrid role, requiring both strong technical capabilities (in data engineering and AI development) and the ability to operate with high organizational efficiency and emotional intelligence (EQ) to ensure smooth collaboration and effective project execution.

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Key Responsibilities

Cloud-Based AI Development:

• Design and deploy AI models and data solutions using cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.
• Optimize cloud resources for cost-effective and scalable AI deployment.

Full-Stack Integration:

• Build user-facing applications using React.js that integrate seamlessly with backend AI services built in Python and hosted on cloud platforms.
• Develop APIs and backend systems with Node.js and Python to support real-time data interactions.

Data Engineering:

• Design and build scalable, reliable data pipelines to collect, process, and store structured and unstructured data for AI models and business applications.
• Ensure data is clean, accessible, and structured for AI model development and production use.

Cross-Platform Collaboration:

• Collaborate with teams to implement scalable, reliable solutions using containerized environments and cloud-native tools.
• Coordinate with product teams to design dashboards and interfaces powered by AI insights.

AI Project Ownership:

• Take full ownership of AI projects, from identifying opportunities to delivering solutions, including managing timelines, resources, and technical requirements.

Problem Solving and Troubleshooting:

• Troubleshoot data-related and AI model performance issues, providing timely solutions to maintain seamless operations.

Organizational Excellence:

• Track project progress, prioritize tasks across multiple initiatives, and ensure projects are completed on time and within scope.

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How You'll Spend Your Time

• 40% Designing and building scalable, reliable data pipelines and AI models to support business applications.
• 20% Developing full-stack applications and APIs that integrate seamlessly with AI services.
• 20% Collaborating with cross-functional teams to identify AI use cases and refine solutions.
• 10% Optimizing and managing cloud infrastructure for AI deployment.
• 10% Troubleshooting and addressing data and AI performance issues.

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How to Apply

If you’re excited to drive the AI initiatives in a rapidly evolving company and take on a multi-faceted role that blends data engineering with AI development, we’d love to hear from you. 

Requirements

Required Skills & Qualifications

Core Technical Expertise:

Full-Stack Development: 

• Proficient in the MERN stack (MongoDB, Express.js, React.js, Node.js) for developing scalable, end-to-end applications.
• Strong Python programming skills with experience in frameworks like Flask or Django for backend services and AI model integration.

Cloud Platforms: 

• Hands-on experience with at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure, Snowflake.
• Ability to design, deploy, and manage AI and data solutions using cloud services such as AWS SageMaker, Google AI Platform, or Azure ML.

AI/ML Expertise: 

• Proven experience in developing and deploying machine learning models with tools like TensorFlow, PyTorch, NumPy, or Scikit-learn.

Data Engineering:

• Experience designing and building batch and real-time data pipelines using tools like Apache Kafka, Apache Airflow, or cloud-native alternatives.
• Proficiency in data storage solutions, including relational databases (e.g., PostgreSQL, SQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with data integration and analysis.
• Strong skills in data manipulation and preprocessing.

Infrastructure:

• Familiarity with CI/CD pipelines and version control systems like Git.
• Understanding of containerization and orchestration tools such as Docker and Kubernetes.

Education Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, AI, or a related field. Equivalent experience will also be considered.
• Master’s degree in a relevant field is preferred.

Preferred Skills:

• Experience integrating APIs for cross-platform functionality.
• Knowledge of cloud-native AI and data services like BigQuery, AWS Lambda, or Azure Cognitive Services.
• Familiarity with real-time data processing tools (e.g., Apache Flink, Kafka Streams).
• Knowledge of deep learning and neural networks for advanced AI applications.

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