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Software Engineer- CH- AXS

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: AEG WORLDWIDE
Full Time position
Listed on 2026-06-19
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 92000 - 115000 USD Yearly USD 92000.00 115000.00 YEAR
Job Description & How to Apply Below

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events and work to improve the fan experience through technology and innovation. AXS is seeking a Software Engineer to join the carbon house team in Charlotte, NC, focused on integrating AI capabilities into production software.

What You’ll Do
  • 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
Required Skills
  • Strong programming experience in one or more languages (Python, JavaScript/Type Script, 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 No

    SQL)
  • Understanding of software design principles and system architecture
  • Familiarity with integrating AI APIs such as OpenAI or Anthropic
  • Basic understanding of:
    • Prompt engineering
    • Embeddings and vector search
    • Model limitations and evaluation
Bonus Skills
  • Experience building AI‑powered applications in production
  • Familiarity with vector databases (Pinecone, Weaviate)
  • Experience with frameworks such as Lang Chain or Llama Index
  • 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
How You Work
  • Strong problem‑solver with attention to detail
  • Curious about emerging AI technologies and eager to experiment
  • Comfortable working in evolving, fast‑paced environments
  • Focused on building reliable, production‑ready systems
  • Communicates clearly with both technical and non‑technical teammates
Example Projects
  • Building APIs that power AI‑driven features (chat, summarization, recommendations)
  • Implementing a RAG pipeline for internal or customer‑facing search
  • Creating services that orchestrate LLM workflows or agents
  • Optimizing latency and cost of AI inference in production
  • Developing tools to evaluate and monitor model performance

Pay Scale: $92,000-$115,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

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


* Employer does not offer work visa sponsorship for this position.

AEG reserves the right to change or modify the employee’s job description, whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description.

AEG’s policy is to hire the most qualified applicants and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

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