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Senior AI Engineer

Skills
DevopsSoftware As A ServiceAmazon Web ServicesCornerstone Veterinary SoftwareDatabasesLaw EnforcementOptimization
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 8–10 years of professional software engineering experience
  • Strong hands-on experience with Java and/or Python
  • Proven experience delivering AI/ML or Generative AI systems in production
  • Hands-on expertise in prompt engineering and prompt optimization for LLM-powered applications
  • Solid experience with AWS and cloud-native system design
  • Strong working knowledge of SQL and NoSQL databases
  • Ability to design systems that balance AI quality scalability latency and cost

Nice to have

  • Leadership
  • Collaboration
  • Mentoring
  • Problem solving
  • Architectural thinking
  • Product mindset

Day to day

  • Design and implement AI-first architectures with machine learning and generative AI at the core of the product.
  • Build and productionize AI workflows including prompt engineering retrieval-augmented generation evaluation and iterative improvement.
  • Develop scalable backend services and API-driven systems in Java and/or Python within AWS environments.
  • Partner with Product UX Platform and Data Science teams to create trustworthy explainable and high-quality AI experiences.
  • Lead technical design discussions mentor engineers and help shape the future AI roadmap for Workforce AI.