Software Engineer, AI Engineer (Applied​/Software), Backend Developer

• 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

• Strong programming experience in one or more languages (e.g., 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

• Experience building AI-powered applications in production
• Familiarity with vector databases (e.g., 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

• 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

• 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

At AXS, we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but can't 'check every box' in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

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

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

Benefits:
Full-time:
We offer a comprehensive benefits package that includes: 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, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

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

• Extraordinary People – we're not kidding!
• Meaningful Mission – Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging – A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

AXS, a subsidiary of AEG, sells millions of tickets each year…