We are looking for an engineer passionate about building reliable, observable, and secure AI systems at scale. You will design and implement end-to-end observability, curate and maintain golden datasets, and enforce layered security controls.
Requirements
- Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field — or equivalent professional experience.
- Strong experience with AI/ML evaluation, including metric definition, evaluation pipelines, golden datasets, and automated judge systems.
- Proficiency in observability and monitoring, including structured logging, tracing, and OpenTelemetry.
- Solid background in CI/CD automation and modern deployment strategies (canary, blue-green, gated deployments).
- Knowledge of AI safety practices, including PII scrubbing, deterministic guardrails, and secure handling of model inputs and outputs.
- Experience working with multi-agent systems and translating product KPIs into measurable agent performance metrics.
- Hands-on experience with AWS, including CDK, ECS/ECR, WAF, SES, Bedrock, CloudWatch, and DevOps Guru.
- Strong experience with Docker, Kubernetes, and cloud-native tooling.
- Familiarity with Azure for identity management and basic exposure to GCP environments.
- Strong analytical thinking, attention to detail, and problem-solving skills.
- Excellent communication skills to collaborate across product, platform, and AI teams.
- English proficiency required for collaboration with global stakeholders.
Benefits
- Celebrations
- Special discounts
- Entertainment area
- Modern Work Spaces
- Great work environment
- Private medical insurance
