Entry Level Full Stack Developer Jobs in Princeton, TX

Full-Stack Engineer
Dallas, TX | Hybrid (Bishop Arts preferred) | Full-time
Reports to Co-founder/CTO

Our client is building an AI-powered contract intelligence platform that sits on top of ERP and AP systems to validate invoices against contract terms before payment.

This role exists to build and scale the core product, from user-facing interfaces to backend systems that ingest contracts, translate them into executable logic, and validate invoice data in real time.

If you enjoy solving ambiguous problems, building systems from scratch, and shipping quickly in a startup environment, this will feel like a strong fit.

Full-stack Product Development

• Build and ship end-to-end product features across frontend, backend, and data layers
• Develop user interfaces that surface validation results, exceptions, and workflows clearly
• Design and implement backend services that process contracts, invoices, and validation logic
• Own features from concept build deploy iterate
• Rapidly prototype and improve workflows using AI-augmented development tools such as Cursor, Claude Code, Copilot, and v0 to maximize engineering output and speed

Data + system architecture

• Build systems that ingest and process unstructured contract data (PDFs, spreadsheets, emails)
• Translate complex contract terms (pricing, caps, escalators) into structured, executable logic
• Design scalable pipelines for invoice validation and exception handling
• Improve performance, reliability, and maintainability of production systems

Integrations + Infrastructure

• Build integrations with ERP/AP systems (e.g., SAP, NetSuite, Workday) via APIs or data pipelines
• Own systems in production, including deployment workflows, observability, environment configuration, and operational reliability
• Set up and maintain CI/CD pipelines and deployment processes
• Apply sound security practices for APIs, authentication, access control, and sensitive financial data

• Work closely with the CTO and early team to turn customer needs into working product features
• Rapidly prototype and iterate based on customer feedback
• Make thoughtful engineering trade-offs in a fast-moving environment with limited process and high ownership

• You ship meaningful product features used by real customers
• Core workflows (contract ingestion validation exception handling) become more reliable
• You improve system performance, data handling, observability, or user experience in measurable ways
• CI/CD, deployment, and monitoring workflows become more stable and scalable
• You are contributing independently and unblocking progress across the stack
• You help turn ambiguous product problems into working solutions
  

• You are comfortable operating in ambiguity and figuring things out without full specs
• You are a builder, you ship, iterate, and improve quickly
• You care about solving real-world problems, not just writing clean code
• You can move across the stack without friction (frontend backend data)
• You prioritize outcomes and impact over process
• You actively learn and adapt to emerging tools, frameworks, and engineering practices without needing direction
• You use AI tooling as a force multiplier and naturally incorporate it into your workflow
• You take ownership of systems in production, not just local development
• You have strong product instincts and empathy for customer workflows

• 36+ years of experience as a Full-Stack Engineer or similar role
• Strong experience with modern frontend frameworks (e.g., React, Next.js)
• Strong backend development experience (e.g., Node.js, Python, or similar)
• Experience designing APIs and working with distributed systems
• Familiarity with data processing, pipelines, or working with unstructured data
• Experience building and shipping production systems
• Experience with CI/CD pipelines, deployment workflows, and cloud infrastructure
• Familiarity with observability tooling (logging, monitoring, alerting)
• Working knowledge of application security, API authentication, and handling sensitive data responsibly
• Comfortable working in a startup or fast-moving environment

Nice to have:

• Experience with AI/ML, NLP, or LLM-based systems
• Experience working with financial systems, ERP, or AP workflows
• Exposure to contract data, invoice processing, or data validation systems
• Experience building internal tooling or workflow automation systems
• Experience with cloud infrastructure and deployment platforms

• Competitive base salary
  
• Performance bonus