KIEFER

QA Engineer

• Build automated tests across backend and frontend systems.
• Implement unit, integration, and end-to-end testing.
• Create and maintain a testing pipeline for every PR.
• Introduce structured bug tracking and improve defect visibility.
• Perform manual validation when needed to ensure product quality.
• Partner with engineering to enforce tested, production-ready releases.

Senior QA Engineer

People Operations

• Design, implement, and continuously improve core People processes, ensuring their adoption through proactive communication, documentation, and structured execution.
• Manage employment contracts and HR documentation in compliance with Greek labor legislation
• Coordinate payroll processes with external accountants and payroll providers
• Lead employee onboarding and offboarding, ensuring a smooth employee experience
• Support performance tracking and People processes (goal setting, feedback cycles, documentation)
• Organize internal team events and culture initiatives to strengthen team engagement
• Maintain HR records and ensure compliance with local labor regulations
• Support recruitment processes when needed (coordination, candidate experience, interview logistics)

People Ops Manager

Robotics

• Design and develop AI agents that automate engineering workflows, particularly hydraulic studies for renewable energy projects (runoff analysis, water flow modeling, infrastructure dimensioning)
• Build and train machine learning models in Python (TensorFlow / PyTorch) for computer vision, sensor fusion, and environmental monitoring
• Integrate Vision-Language Models (VLMs) and foundation models such as NVIDIA Cosmos into multimodal AI applications
• Work with Earth Observation data, remote sensing pipelines, and geospatial tools (Google Earth Engine, ArcGIS, QGIS)
• Develop and automate hydrological models (HEC-HMS, HEC-RAS)
• Use NVIDIA PhysX and IsaacSim / IsaacLab to build physically accurate simulations and digital twins
• Contribute to ROS2-based robotic systems (training provided if needed)
• Collaborate closely with robotics, AI, and environmental engineers to deliver integrated, production-ready solutions

ML Robotics Engineer

Machine Learning Engineer

• Build and scale production-grade ASR and LLM pipelines, improving throughput, latency, and reliability while ensuring full data sovereignty.
• Improve model performance through dataset-centric optimization, expanding Greek-language and domain-specific capabilities.
• Design and deploy scalable multi-agentic AI systems to automate complex enterprise document analysis and decision workflows.
• Drive cost and performance optimization for model inference, reducing cost-per-task through quantization, caching, and smart routing.
• Define and uphold ML engineering standards, including evaluation frameworks, ML CI/CD, testing, and mentorship across the ML team.

Senior ML Engineer

DevOps Engineer

• Standardize CI/CD pipelines (GitHub Actions) and Helm charts across 10+ microservices
• Build centralized logging, metrics, and alerting (currently a gap)
• Extend Terraform to cover full AWS infrastructure
• Improve deployment reliability: staging environments, rollback strategies, health checks
• Harden security: container scanning, secrets management, network policies
• Improve the local development experience (Docker Compose orchestration for all services)

Senior DevOps Engineer

Product Manager

• Define the AI-driven product vision and long-term direction for Sophea Meet.
• Own and continuously refine the product roadmap, balancing user-facing features with foundational AI investments.
• Analyze market trends, customer workflows, and the competitive AI landscape to identify opportunities for differentiation.
• Identify and validate high-impact enterprise use cases where AI can deliver a 10x improvement.
• Drive a rigorous product discovery and validation process, incorporating user feedback and data to inform product decisions.
• Lead the strategy and execution of integrations with key enterprise productivity and management platforms.
• Align and inspire our Engineering, AI, Design, and GTM teams with a clear and compelling product narrative.
• Establish and monitor the key metrics that define success for an AI-powered product, from user engagement to the quality of AI-generated outputs.

Senior Product Manager

Security Engineer

• Conduct security assessments and build a prioritized remediation roadmap across infrastructure and services
• Harden AWS and Kubernetes environments: IAM, network policies, workload isolation, secrets management
• Secure AI-specific attack surfaces: prompt injection defenses, PII handling in LLM pipelines, model interaction data leakage
• Embed automated security into CI/CD: dependency scanning, container image scanning, code analysis, secrets detection
• Design secure-by-default patterns for service communication, authentication, and data handling
• Build incident response capabilities: detection, alerting, response workflows, and post-incident review
• Partner with engineering teams to improve security posture without becoming a bottleneck