Software Engineer

AXS•Charlotte, NC
•$92,000 - $115,000•Hybrid

About The Position

AXS is seeking a Software Engineer to join their carbonhouse team in Charlotte, NC. This role is designed for an individual with a strong interest in applied AI, focusing on building intelligent, scalable systems. The position involves integrating AI capabilities into production software, bridging traditional engineering with modern machine learning and large language model (LLM) workflows. The engineer will work on backend services, APIs, and data pipelines that support AI-driven features, collaborating with product and design teams to bring these capabilities to life.

Requirements

  • Strong programming experience in one or more languages (e.g., Python, JavaScript/TypeScript, PHP, Go)
  • Experience building and maintaining backend systems and APIs
  • Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure
  • Experience working with databases (SQL and/or NoSQL)
  • Understanding of software design principles and system architecture
  • Familiarity with integrating AI APIs such as OpenAI or Anthropic
  • Basic understanding of prompt engineering
  • Basic understanding of embeddings and vector search
  • Basic understanding of model limitations and evaluation

Nice To Haves

  • Experience building AI-powered applications in production
  • Familiarity with vector databases (e.g., Pinecone, Weaviate)
  • Experience with frameworks such as LangChain or LlamaIndex
  • Knowledge of machine learning fundamentals (training, fine-tuning, evaluation)
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Exposure to event-driven or streaming architectures
  • Frontend experience (React, Next.js) is a plus but not required

Responsibilities

  • Design, build, and maintain scalable backend systems and APIs
  • Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.)
  • Develop and optimize data pipelines for AI workflows
  • Implement retrieval-augmented generation (RAG) and context-aware systems
  • Evaluate and integrate third-party AI tools and services
  • Improve system performance, reliability, and cost efficiency
  • Write clean, maintainable, and well-tested code
  • Collaborate with cross-functional teams to ship AI-powered features
  • Contribute to architecture decisions and technical direction

Benefits

  • medical, dental and vision insurance
  • paid holidays
  • vacation and sick time
  • company paid basic life insurance
  • voluntary life insurance
  • parental leave
  • 401k Plan (with a current employer match of 3%)
  • flexible spending and health savings account options
  • wellness offerings
  • Opportunities for learning and leveling up through training and education reimbursement
  • Access to meaningful volunteer opportunities and community engagement programs
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