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AI Senior Software Engineer

Lorven Technologies, Inc.Charlotte, NC🇺🇸United States

Why this role stands out

Accelerate your career at Lorven Technologies, where you will leverage your expertise in Python and FastAPI to build cutting-edge AI backend systems and integrate advanced LLM tool-calling patterns. This role is perfect for a mission-driven engineer who thrives in a collaborative, high-impact environment and is eager to push the boundaries of modern technology. Apply today to take this exciting next step in your professional journey and help shape the future of AI.

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationCharlotte, NC, United States
FastAPIMicroservicesGitAWSGitHub ActionsJWTJenkinsLLMPythonRedispytestRESTCI/CD

Job description

AI Senior Software Engineer
Location: Charlotte, NC/Atlanta, GA – (Onsite)
Job Type: Contract

Job Description:

Core Skills & Qualifications

  • LLM Integration: Basic understanding of LLM tool-calling patterns for future AI Backend Development: 5+ years of experience building scalable backend services using Python and FastAPI
  • Tool-Based Architectures: Experience with MCP or tool-based orchestration patterns
  • API & Microservices Architecture: Strong expertise in API orchestration, microservices design, and enterprise REST/JSON integrations
  • Distributed Systems: Deep understanding of distributed systems, asynchronous programming, and concurrency models
  • Workflow Orchestration: Hands-on experience designing workflow engines, state machines, and multi-step orchestration for complex business processes
  • Resiliency & Reliability: Proven experience implementing retry mechanisms, failure handling, idempotency, and designing systems for partial success
  • Caching & Performance Optimization: Experience using Redis (or similar caching technologies) for performance optimization, request deduplication, rate limiting, and state management
  • Testing & Quality Engineering: Strong background in unit and integration testing (Pytest preferred), including validation of complex workflows, failure scenarios, and recovery logic
  • Observability & Debugging: Expertise in logging, monitoring, and debugging distributed systems
  • Engineering Excellence: Experience with Git-based workflows, code reviews, CI/CD pipelines (GitHub Actions, Jenkins), and code quality tools (linting, formatting, static analysis)
  • Security Fundamentals: Working knowledge of secure API design, including OAuth2/JWT, authentication, and authorization best practices
  • integrations
  • Cloud & AWS Experience

Good to Have / Nice to Have:

  • Domain Knowledge: Familiarity with insurance or financial services workflows

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