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Senior AI Engineer
Skills
DevopsSoftware As A ServiceAmazon Web ServicesCornerstone Veterinary SoftwareDatabasesLaw EnforcementOptimization
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.
