Full Stack Engineer (AI & Data Platform)

Job Description - Full Stack Engineer (AI & Data Platform)

Python | React.js | Node.js | Databricks | PostgreSQL | Scalable Applications | AI

Location: St. louis, MO/ Arlington, VA, NYC, NY & NJ

Remote is OK | Arlington & NY/NJ is hybrid
Day to Day Job Duties: (what this person will do on a daily/weekly basis)
Design, develop, and enhance scalable full stack applications using Python for backend services and React.js with Node.js for modern web experiences.
Build and integrate AI-enabled application capabilities, including APIs, intelligent workflows, model/LLM integrations, and data-driven features where applicable.
Develop robust backend services, APIs, and microservices with strong emphasis on performance, resiliency, security, observability, and maintainability.
Build data-intensive application components leveraging Databricks for data processing, transformation, analytics, and integration with application services.
Design and optimize PostgreSQL data models, queries, indexing, and application data-access patterns for enterprise-scale workloads.
Engineer applications for horizontal scaling and high availability using distributed architecture, stateless service patterns, caching, asynchronous processing, and cloud-native deployment practices.
Apply enterprise security and compliance standards across application design, APIs, authentication/authorization, data access, secrets, and secure software development practices.
Collaborate with product, architecture, data, DevOps, security, and engineering teams to deliver production-ready solutions and resolve complex technical issues.
Participate in architecture/design reviews, code reviews, performance tuning, production troubleshooting, CI/CD automation, and continuous improvement of engineering standards.

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
Minimum 7+ years of overall software engineering experience building and supporting enterprise applications, including hands-on full stack development.
Minimum 5+ years of hands-on Python development experience, including backend services, REST APIs, application frameworks, automation, and production-grade coding practices.
Minimum 4+ years of hands-on React.js experience building modern, component-based web applications and integrating with backend APIs.
Minimum 3+ years of Node.js experience supporting server-side application development, API services, or full stack solutions.
Minimum 3+ years of hands-on Databricks experience, including development of data processing workloads, notebooks/jobs, integrations, and production support.
Minimum 3+ years of PostgreSQL experience, including relational data modeling, SQL development, query optimization, indexing, and application integration.
Minimum 4+ years of experience designing or developing applications for scale using microservices, horizontal scaling, distributed systems, caching, resiliency, performance optimization, and high-availability patterns.
Minimum 3+ years of experience implementing enterprise application security and compliance practices, including authentication/authorization, secure APIs, secrets management, data protection, and secure coding standards.
Minimum 1+ year of hands-on experience integrating AI/ML or LLM capabilities into applications, APIs, workflows, or enterprise software solutions.

Degree: Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent relevant work experience.

Nice to Have: (But not a must)
Experience with GenAI/LLM application patterns such as RAG, embeddings, vector search, prompt orchestration, agentic workflows, or model gateway integrations.
Experience deploying applications to Kubernetes and cloud platforms such as AWS or Azure.
Experience with CI/CD, Docker, infrastructure automation, monitoring, logging, and production observability.
Experience working in regulated enterprise environments with strong security, governance, audit, and compliance requirements.
Experience providing technical leadership, mentoring developers, and contributing to architecture standards and reusable engineering patterns.