Artificial Intelligence Engineer
Skills
APIComputer ScienceTrainingData ProcessingFoundationsOptimizationSales
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- BS/MS in Computer Science or related field or equivalent experience
- Practical software engineering experience building backend services APIs or data-intensive applications
- Strong foundations in algorithms data structures and systems
- Exposure to or hands-on experience with LLM application concepts including retrieval grounding prompt and agent design function or tool use evaluation safety guardrails and cost or latency optimization
- Proficiency with modern software delivery practices including version control CI/CD testing and observability
- Familiarity with cloud-native services and containerization
- Ability to collaborate with product and business partners
- Strong written and verbal communication skills
- Bias to ship learn and iterate
- Comfortable working in fast-evolving technology areas with incomplete information
- For senior level demonstrated ownership of services or platform components end-to-end delivery of cross-service initiatives and contributions to reliability SLOs and operational excellence
Nice to have
- Collaborative
- Responsible
- Analytical
- Adaptable
- Detail-oriented
Day to day
- Build and ship production AI experiences and platforms for internal teams across the enterprise.
- Work across the AI stack including data pipelines retrieval prompt and agent logic evaluation guardrails serving and observability.
- Collaborate with operations product sales customer service finance HR and governance partners to deliver practical responsible solutions with measurable business value.
- Instrument telemetry and evaluation to monitor quality safety latency and cost while improving performance based on data.