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Senior Software Engineer - Full Stack AI

Job in Towson, Baltimore City, Maryland, 21286, USA
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
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
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.

ESSENTIAL DUTIES AND RESPONSIBILITIES Data Engineering
  • 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.
Application & API Development
  • 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.
AI/ML Enablement
  • 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.
Data Governance & Data Quality
  • 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.
Quality, Security & Operations
  • 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.
Collaboration & Ways of Working
  • 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.
QUALIFICATIONS
  • 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.
PREFERRED
  • 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.
WHO YOU ARE
  • A…
Position Requirements
10+ Years work experience
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