Jonathan Harrold

Role: Technical Program Lead – AI & Coding Operations€120,000 – €150,000 + Equity + Bonus (negotiable)Remote Europe | Full-time | Eastern Time hours requiredA fast-growing Series B tech company backed by top investors is looking for a Technical Program Lead – AI & Coding Operations to lead large-scale coding initiatives supporting cutting-edge LLM and GenAI solutions for enterprise clients.This is a high-impact leadership role ideal for someone who combines deep coding expertise with operational and project management strength. You’ll be responsible for overseeing 100+ contractor coders, designing coding roadmaps, and ensuring delivery of clean, high-quality data/code for machine learning pipelines.What You’ll Do:Lead end-to-end execution of high-volume coding projects.Translate messy legacy code/data into structured workflows and clear, actionable instructions.Design and maintain high standards for coding quality and delivery timelines.Manage and mentor a global team of 100+ coder contractors.Define QA protocols and troubleshoot operational or technical roadblocks.Collaborate cross-functionally with internal stakeholders and technical teams.What You’ll Bring:6+ years hands-on coding experience (Python, Java, JavaScript, or similar).3+ years in technical project management roles.Expertise in version control, debugging, and scalable software practices.Experience with or exposure to LLMs and Generative AI tools/pipelines.Fluency in multiple programming languages and a solutions-first mindset.Strong leadership and communication skills for managing large distributed teams.What’s On Offer:€120,000 – €150,000 base salary (negotiable)Equity and performance bonusesRemote-first flexibility (must overlap with ET hours)Comprehensive benefits & professional development supportChance to shape the operational foundation of a fast-scaling GenAI company

Role: AI Engineering Manager/Staff Engineer (Python / LLMs / Infrastructure)Location: Fully Remote (Europe)Salary: €110k-€135kEmployment Type: Full-time*Please note: Only candidates with Staff-level experience or above will be considered. Proven team leadership - whether as a Tech Lead, Staff Engineer, or Engineering Manager - is a core requirement for this role.*Join a fast-growing product company at the cutting edge of AI technology. This is an opportunity to lead a talented, cross-functional engineering team while staying hands-on with a modern, high-performance tech stack. Our client’s mission is to build one of the most human-like AI platforms in the world, with millions of users and a strong reputation across academia and media.We're seeking an AI Engineering Manager or Staff Engineer who combines strong backend engineering and infrastructure skills with proven leadership experience. You’ll play a pivotal role in scaling production AI systems, guiding technical direction, and helping drive delivery of sophisticated, LLM-powered solutions.Key Responsibilities:Lead and mentor a high-performing team of AI and backend engineersOwn and evolve the system architecture for AI/ML deployment at scaleBuild and maintain FastAPI-based microservices with Python async patternsManage AI-related infrastructure: containerization (Docker), CI/CD (GitHub Actions), observability (Datadog)Design and support scalable data pipelines using Redis, MongoDB, and KafkaIntegrate with LLMs (OpenAI, Anthropic, LLaMA) and vector databases (e.g. Pinecone)Oversee structured logging and system monitoringCollaborate cross-functionally across AI research, DevOps, and product teamsSupport a robust, high-scale environment (serving 500K+ users)Help shape best practices in software engineering and team cultureCore Requirements:5+ years of backend development experience in PythonLeadership background: experience managing engineering teams or squadsDeep knowledge of Redis (asyncio), MongoDB schema design, and FastAPIHands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and vector databases (e.g. Pinecone)Familiarity with LLaMA models and deployment patternsProficient in Docker and docker-compose for environment managementSolid experience with Kafka in event-driven architecturesExpertise in CI/CD with GitHub Actions and observability tooling (e.g., Datadog)Track record of shipping systems at scale (500K+ users or more)Excellent communication skills and stakeholder collaboration abilitiesA “startup mindset”: proactive, adaptable, and comfortable with ambiguityNice to Have:Experience with Kubernetes and deployment orchestration tools (e.g. Quadrant)Scala familiarity or willingness to learnPrevious work in AI/ML product teams or research-led environments

Role: Machine Learning Engineer (B2 German required)Location: Berlin, Germany (Hybrid)Salary: €80,000 – €100,000About:Our client are a fast-growing, profitable company driving AI breakthroughs for clients across industries. Their team of passionate engineers rapidly delivers AI-powered MVPs, transforming clients into AI powerhouses.The Role:As a Machine Learning Engineer, you will:Lead AI-driven projects, turning Proof-of-Concepts (PoCs) into production-ready MVPs.Build data pipelines, develop and deploy ML models, and integrate them into client systems.Collaborate with corporates, NGOs, scale-ups, and public sector organizations.What You Bring:Software Expertise: 2+ years of experience building scalable software solutions with Python and SQL.ML Skills: Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and the full ML lifecycle (training, deployment, monitoring).Cloud & Deployment: Experience with cloud platforms (preferably Azure), Docker, and secure web applications (SSL certificates).Adaptability: Comfortable with ambiguity and solving diverse engineering challenges.German Proficiency: B2 or higher for client communication (required).Nice-to-Haves:Experience with LLMs (OpenAI, Claude API).Front-end development skills.Integration with SAP.Data science tools (pandas, matplotlib, scikit-learn).What They Offer:Growth: A chance to do the best work of your career with continuous learning and development.Impact: Be part of a pioneering AI company, delivering real-world breakthroughs.Flexibility: Innovative work practices and a supportive, value-driven environment.