Senior AI Engineer

This is a fully remote position, open to applicants in Greece, +1 more country.

📋 Description

• Design, build, assess, and manage production AI systems that address product and engineering challenges.

• Take ownership of intricate AI systems from the initial identification of business problems through experimentation, implementation, deployment, monitoring, and ongoing enhancement.

• Engage in AI-native product engineering and knowledge systems.

• Create automated and reusable vendor-integration features and advance the Integration Hub.

• Facilitate AI-assisted software delivery throughout analysis, requirements, implementation, testing, knowledge reuse, code review, and acceleration of delivery.

• Develop AI-enabled quality and production intelligence features, such as anomaly detection, failure-pattern analysis, data quality/error detection, and intelligent monitoring.

• Choose AI methods based on evidence, including prompting, retrieval, orchestration, predictive ML, model adaptation/fine-tuning, and specialized models.

• Construct production systems using model APIs, structured outputs, retrieval/RAG, agentic and tool-based workflows, and predictive techniques.

• Design evaluations that encompass functional behavior, groundedness, business correctness, robustness, and regression testing.

• Implement monitoring and feedback mechanisms utilizing evaluation evidence, logs, metrics, traces, and operational data.

• Engineer systems for reliability, testability, observability, maintainability, latency, and cost-effectiveness.

• Diagnose intricate AI and software failures, transforming production insights into preventative measures and system enhancements.

• Identify and confirm AI-driven improvements to the SDLC, product development, and operational workflows.

• Collaborate with architecture, platform, security, data, quality, product, and domain specialists while maintaining technical accountability.

• Mentor junior engineers and contribute reusable patterns, knowledge, and best practices.

⛳️ Requirements

• Strong hands-on experience in delivering production AI systems.

• Familiarity with model APIs, structured outputs, tool-based systems, retrieval/RAG, agentic workflows, predictive techniques, and model adaptation/fine-tuning when necessary.

• Capability to select the suitable AI method based on the context of the problem and evaluation evidence.

• Experience in designing evaluations for behavioral, groundedness/business correctness, robustness, and regression, including production evaluation, monitoring, and feedback systems.

• A solid foundation in software engineering, particularly with Python.

• Proficient in distributed systems, APIs, integrations, data pipelines, automated testing, CI/CD, containers/cloud, and production-grade engineering practices.

• Strong skills in observability and troubleshooting production issues, including logs, metrics, and traces.

• Expertise in reliability, testability, awareness of latency/cost, and investigation of complex failures.

• Ability to comprehend intricate workflows, business rules, dependencies, and constraints and translate ambiguous business problems into dependable system behavior.

• Proven track record of guiding complex technical challenges from discovery and experimentation through to production and continuous enhancement.

• Proficient in English, both written and spoken.

• Experience with MCP or similar tool/context interoperability patterns (desirable).

• Familiarity with orchestration technologies such as LangGraph, Temporal, or similar (desirable).

• Experience with model adaptation/fine-tuning or production predictive ML (desirable).

• Background in constructing evaluation harnesses and datasets from real production/user feedback (desirable).

• Experience with unstructured data and knowledge/retrieval systems at scale (desirable).

• Working knowledge of AI security, privacy, and responsible-AI practices (desirable).

• Experience enhancing developer/product workflows through applied AI (desirable).

• Familiarity with anomaly detection, intelligent monitoring, or AI-assisted operational analysis (desirable).

🏝️ Benefits

• Work-from-anywhere policy.

• Regular team gatherings in person, with travel and accommodation expenses covered.

• Flexible working hours.

• Health and life insurance program.

• Learning and development budget.

• Tech-driven, friendly team with an international perspective.