Build AI-assisted tooling for engineering workflows
Improve developer productivity and operational efficiency
Design systems that reduce repetitive manual engineering work
Support large-scale multi-component software delivery environments
Develop AI-driven solutions for pipeline analysis, failure classification, flaky test detection, release validation, dependency impact analysis, build optimization, deployment risk analysis
Improve reliability and visibility of engineering pipelines
Build AI systems for troubleshooting assistance, incident investigation, log analysis, engineering knowledge retrieval, operational recommendations
Automate engineering support and operational workflows
Design and implement engineering copilots, RAG systems, context management systems, internal engineering assistants, workflow automation agents
Integrate AI with engineering systems, repositories, CI/CD platforms, documentation, observability tools, and operational data sources
Deploy and maintain production-grade AI services
Ensure observability, monitoring, evaluation, and operational reliability
Optimize AI systems for latency, cost, and scalability
Maintain secure and maintainable integrations

Strong software engineering fundamentals
Strong Python skills
Experience building backend systems, APIs, and automation tooling
Experience with distributed systems and Linux environments
Practical experience with LLM systems and AI tooling
Experience with RAG architectures, embeddings, vector search, workflow orchestration, AI evaluation
Ability to build production systems, not just prototypes
Experience with CI/CD systems
Familiarity with Kubernetes, containers, observability tooling, infrastructure automation, cloud-native environments
Understanding of operational workflows and engineering lifecycle challenges
Nice-to-Have: Experience with OpenStack ecosystems, large-scale monorepo or multi-repository environments, engineering analytics and developer productivity metrics, familiarity with infrastructure observability and incident management systems

Flexible hours and remote work options
Competitive compensation with different benefits depending on your location and type of contract
Recognition programs
Space for creativity and experimentation within the company’s goals
Supportive, engineering-driven culture with minimal bureaucracy
The chance to influence infrastructure decisions from day one
A smart, friendly team that values reliability, simplicity, and automation

Junior AI Engineer

Key skills