Senior Software Engineer - Full Stack AI
Job in
Towson, Baltimore City, Maryland, 21286, USA
Listed on 2025-12-21
Listing for:
Curio Wellness
Full Time
position Listed on 2025-12-21
Job specializations:
-
IT/Tech
Data Engineer, Data Security, Data Science Manager, Data Analyst
Job Description & How to Apply Below
Senior Software Engineer - Full Stack AI
Apply for the Senior Software Engineer - Full Stack AI role at Curio Wellness
.
Base pay range: $/yr - $/yr.
This is a true end-to-end engineering role blending AI/ML enablement & integration, data governance, and data quality engineering.
NO THIRD PARTIES CANNOT WORK WITH VISA HOLDERS.
Please note:
This position involves working with plant material, which may include exposure to pollen, allergens, and other plant-related substances. We recommend that applicants with known plant allergies or sensitivities consult with a healthcare professional before applying for this position.
- Design, build, and maintain scalable data pipelines and system integrations (ETL/ELT).
- Develop and enhance the enterprise data warehouse/lake house, including schemas, dimensional models, and performance tuning.
- Implement automated data validation, testing, and monitoring to ensure reliability and trustworthiness.
- Build and maintain internal applications, dashboards, and tools that expose data and AI capabilities to end users.
- Build secure, modular back-end services (APIs, microservices) supporting internal workflows and analytics.
- Develop intuitive front-end interfaces using modern frameworks.
- Integrate applications with enterprise systems, cloud services, and external platforms.
- Prepare and structure datasets to support AI/ML training, inference, and deployment.
- Partner with analytics and business teams to deploy models into production applications or automated processes.
- Build pipelines, services, and monitoring to support model lifecycle management.
- Integrate LLM-based capabilities into internal tools, workflows, or end-user applications where applicable.
- Implement and maintain data governance standards, including naming conventions, metadata, lineage, and access controls.
- Ensure data accuracy, consistency, and completeness across systems by establishing validation rules, profiling, and automated checks.
- Partner with business owners to define data definitions, ownership, and stewardship for key entities and metrics.
- Build and maintain role-based access and data security policies in accordance with compliance requirements.
- Promote a culture of trusted data by ensuring that all analytics, applications, and AI models use governed, high-quality data.
- Write clean, maintainable, thoroughly tested code; participate in code reviews and design critiques.
- Use CI/CD pipelines and best Dev Ops practices for automated build, testing, and deployment.
- Implement secure engineering practices: secrets management, encryption, least-privilege access, and audit logging.
- Set up monitoring, observability, and alerts for data pipelines, applications, and model endpoints.
- Translate business requirements into technical designs, user stories, or prototypes.
- Work with product, operations, finance, and retail to understand needs and deliver scalable solutions.
- Break complex work into iterative deliverables and participate in Agile ceremonies.
- Contribute to internal standards, documentation, and engineering best practices.
- 5+ years across software engineering and/or data engineering roles.
- Strong experience with Python, SQL, and at least one modern back-end framework.
- Experience building end-to-end web applications (front-end + back-end + database).
- Cloud platform experience (AWS preferred, Azure/GCP ok).
- Proven experience building data pipelines, data models, and integrations between business systems.
- Familiarity with AI/ML workflows and model deployment concepts.
- Experience with Git, code reviews, testing frameworks, CI/CD.
- Strong understanding of data governance principles, data quality, and secure access controls.
- Experience with React, Vue, or Angular.
- Experience with modern data stack tools (dbt, Databricks, Snowflake, Synapse, Big Query).
- Experience with containerization (Docker) and orchestration (Kubernetes or serverless).
- Experience integrating LLMs or AI models into user-facing applications or internal tools.
- A…
Position Requirements
10+ Years
work experience
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