Junior AI Engineer

📋 Description

• Develop AI-enhanced tools to streamline engineering workflows.

• Enhance developer productivity and optimize operational efficiency.

• Create systems that minimize repetitive manual tasks in engineering.

• Design innovative AI solutions for pipeline assessment, failure classification, flaky test identification, release validation, dependency impact evaluation, build optimization, and deployment risk analysis.

• Increase the reliability and transparency of engineering pipelines.

• Construct AI systems to assist with troubleshooting, incident investigations, log analysis, engineering knowledge retrieval, and operational recommendations.

• Automate engineering support and operational processes.

• Design and implement engineering copilots, RAG systems, context management solutions, internal engineering assistants, and workflow automation agents.

• Integrate AI with engineering systems, repositories, CI/CD platforms, documentation, observability tools, and operational data sources.

• Deploy and maintain production-quality AI services.

• Ensure observability, monitoring, assessment, and operational reliability of systems.

• Optimize AI systems for latency, cost efficiency, and scalability.

• Maintain secure and sustainable integrations.

⛳️ Requirements

• Strong foundation in software engineering principles.

• Proficient in Python programming.

• Experience in developing backend systems, APIs, and automation tools.

• Familiarity with distributed systems and Linux environments.

• Practical knowledge of LLM systems and AI tools.

• Experience with RAG architectures, embeddings, vector search, workflow orchestration, and AI evaluation.

• Capability to build production-grade systems rather than just prototypes.

• Experience with CI/CD systems.

• Familiarity with Kubernetes, containers, observability tools, infrastructure automation, and cloud-native environments.

• Understanding of operational workflows and the challenges within the engineering lifecycle.

• Nice-to-have: Experience with OpenStack ecosystems.

• Experience in large-scale monorepo or multi-repository environments.

• Knowledge of engineering analytics and developer productivity metrics.

• Familiarity with infrastructure observability and incident management systems.

🏝️ Benefits

• Flexible working hours and options for remote work.

• Competitive salary with various benefits based on location and contract type.

• Recognition programs to celebrate achievements.

• Opportunities for creativity and experimentation aligned with company goals.

• A supportive, engineering-focused culture with minimal bureaucracy.

• The opportunity to influence infrastructure decisions from the outset.

• A knowledgeable, friendly team that prioritizes reliability, simplicity, and automation.