Software Engineer - AI Performance

Location: Remote in the Philippines

Company

hirify.global builds Computer, an AI teammate and AI-native SaaS platform that unifies data sources, tools, and workflows for enterprise teams.

What you will do

• Complete structured training in AI benchmarking, profiling, telemetry, and performance tuning.
• Build and scale benchmarking infrastructure for evaluating enterprise AI systems.
• Design agent evaluation pipelines measuring reasoning, accuracy, alignment, user outcomes, latency, and quality.
• Instrument model-serving systems based on vLLM, Triton, Ray, or Kubernetes.
• Develop data and telemetry pipelines for model performance measurement.
• Collaborate with AI, infrastructure, and cross-functional teams to create benchmarks that reflect customer value and system impact.

Requirements

• 3–10+ years of experience as a Software Engineer in backend, systems, or infrastructure roles.
• Strong foundation in Python or a similar backend language such as Go, Java, C#, or Node.
• Hands-on experience building APIs and cloud-native architectures using AWS, GCP, or Azure.
• Understanding of metrics, profiling, or observability tools such as Grafana, Prometheus, or ELK.
• Curiosity and commitment to learning AI benchmarking, LLM evaluation, and performance frameworks.
• Strong analytical and product intuition, with attention to what benchmarks represent and measure.

Nice to have

• Experience with Kubernetes.
• Exposure to vector search or model tuning with LoRA or DPO.
• Open-source contributions.

Culture & Benefits

• Structured training and mentorship for transitioning into AI performance engineering.
• Opportunity to contribute to open benchmarking frameworks for intelligent SaaS software.
• Cross-functional collaboration with AI and infrastructure teams.
• Equal opportunity employment.