Senior AI Engineer

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Traffic Label Limited

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2006

🤝 B2B

📱 Media

B2B • Media

Traffic Label Limited is a digital marketing agency that delivers performance-driven digital strategy and creative services for brands, specializing in SEO, affiliate marketing, and conversion-focused campaigns. Founded in 2006, the company combines marketers, developers, and creatives to serve hundreds of global clients with a focus on measurable results, collaboration, and continuous learning. They operate with a distributed team across multiple locations, hire for a range of marketing and product roles, and emphasize a culture of trust, curiosity, and growth.

📋 Description

• Design and build automated workflows - both deterministic (rule-based) and probabilistic (model-driven) • Implement agent orchestration patterns (planning, tool use, evaluation loops, error recovery) • Build and maintain APIs and backend services supporting AI-driven functionality • Develop retrieval and grounding systems for knowledge search and context enrichment • Work with structured and unstructured data to support AI use cases • Design evaluation frameworks to measure and monitor AI system quality • Design testing strategies for non-deterministic AI systems • Manage cost, latency, and quality tradeoffs in production AI systems • Collaborate with Backend, Data, DevOps, and Product teams • Deploy, monitor, and maintain services in production environments • Contribute to system design and technical decision-making

🎯 Requirements

• Senior-level engineering experience (typically 4+ years) in backend or software engineering (Python strongly preferred) • Practical experience building AI-powered applications in production (not just prototypes) • Experience with LLM APIs, context engineering, and AI integration patterns • Understanding of agentic patterns: multi-step orchestration, tool-calling, state management • Experience with retrieval and grounding systems (RAG, semantic search, knowledge retrieval) • Solid software engineering fundamentals (API design, system design, databases) • Experience with data processing and working with structured/unstructured data • Familiarity with cloud platforms (AWS preferred) • Experience with Docker and CI/CD workflows • Strong debugging and problem-solving skills • Ability to take ownership and work independently

🏖️ Benefits

• Full remote work flexibility • Competitive compensation discussed at first conversation • Generous paid time off including vacation, sick leave, and public holidays • Budget for learning, experimentation, and conference attendance • Opportunity to build AI systems from the ground up in a high-growth business • Small, senior engineering team — high autonomy, low bureaucracy • Strong ownership culture and direct influence on technical direction