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Backend Software Engineer

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: HireNetworks
Part Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software, Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

Full Software Engineer

Our Raleigh-based, AI-powered field infrastructure software client seeks a skilled Full Stack Software Engineer with strong skills in Type Script software engineering with React, Node.js, and AI tools. In this role, you will combine your own software development skills and AI-augmented coding talents to help build next-generation no-code tools supporting underserved but critical infrastructure in the utilities, telecom, and agriculture industries, helping to automate repetitive work and analysis in GIS, permitting, and engineering applications.

This is a direct-hire, hybrid opportunity in west Raleigh, NC. Candidates are expected to come into the office about half the time (2-3 days per week). Salary target is $100,000 - $150,000 depending on experience level, plus benefits and equity; there may be some upward flexibility for senior candidates. No visa sponsorship, or subcontracting arrangements available. Relocation assistance may be offered for the ideal candidate.

Responsibilities

of the Full Stack Software Engineer
  • Build AI-Powered Automation Systems
    • Design and implement desktop agents that automate repetitive work across legacy software platforms used in utilities, telecom, and engineering
    • Architect backend services that orchestrate agentic workflows, handling concurrency, reliability, and observability at scale
    • Build agentic frameworks and tools to power enterprise agentic use
    • Build systems that integrate with state-of-the-art AI models (LLMs, vision models, document parsing) to generate workflows, extract structured data, and drive adaptive execution logic
    • Develop RAG pipelines and fine-tuning infrastructure to improve agent performance over time
  • Scale Backend Infrastructure
    • Own backend services that power our agent deployments
    • Design distributed systems that can scale from dozens to thousands of concurrent automation jobs, including containers with virtual environments
    • Manage security and access management to agentic environments
    • Build robust APIs and data pipelines that connect field operations to back-office systems
    • Ensure production reliability, performance monitoring, and incident response for mission-critical customer workflows
  • Collaborate & Ship
    • Work directly with our CTO and founding team to break down ambitious product goals into shippable milestones
    • Bring cutting-edge agentic capabilities into production
    • Deploy and iterate rapidly based on real customer feedback from enterprise utilities and telecom companies
    • Use AI tools throughout your daily workflow to accelerate development and solve complex problems
Required Qualifications of the Full Stack Software Engineer
  • 1-7+ years of professional engineering experience building production systems
  • Production experience in Type Script and modern web frameworks like Node.js required;
    Rust experience strongly preferred
  • Strong hands-on experience with generative AI tools (Claude, Cursor, Git Hub Copilot, etc.) every day to accelerate your software development work and tackle hard problems
  • Proven problem-solving ability:
    You can take ambiguous requirements, break them down, and ship working solutions
  • Experience in a startup or startup-style environment
  • Hands-on experience building scalable distributed systems and backend services
  • Experience integrating with AI/ML models (OpenAI, Anthropic, or similar APIs)
  • Experience deploying and managing production services
  • Database design and optimization
Bonus Qualifications of the Back End Software Engineer
  • Experience with distributed workflow orchestration (Temporal.io, Cadence, or similar)
  • Infrastructure as code and containerization tools (Docker, Kubernetes)
  • Background in automation, RPA, or desktop application integration
  • Prior experience at an early-stage startup (seed to Series A)
  • Familiarity with industrial/enterprise software, legacy systems, or domain-specific engineering tools
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