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Description: 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.

Requirements

Must-haves

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 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-haves

Nice to Have: (But not a must)

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aipythonreactnode.jsllmci/cdrestapisqlmlkubernetesawsazuredocker

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