AI Engineer

• Take complete ownership and deliver major AI engineering features within agreed timelines.
• Own AI output quality, structure, and predictability across all user-facing AI interactions.
• Design, implement, and maintain output-type-based AI systems, including segmentation, routing, and enforcement.
• Ensure consistent output structure and formatting across different LLMs for the same request type.
• Integrate and orchestrate multiple LLM providers via OpenRouter, managing model selection, fallback strategies, and cost optimisations.
• Design and orchestrate tool-using and agentic AI workflows, defining clean tool contracts (including MCP-based tools), function-calling interfaces, and reliable AI-to-system integrations.
• Build and maintain complex, multi-step LLM workflows, including with orchestration frameworks such as LangChain or LlamaIndex, for advanced reasoning, context reuse, and retrieval.
• Design and manage production prompt systems with dynamic prompting, context injection, and conditional logic.
• Own the deployment and release of LLM experiments, prompt management, and Langfuse-based evaluation pipelines.
• Run A/B tests across models, analyse results, and present data-driven impact assessments of AI features and experiments.
• Monitor AI system metrics, quality signals, latency, and release health using Langfuse and other observability tools.
• Deep-debug complex LLM chains using Langfuse traces, identifying bottlenecks and optimising for cost, latency, and context-window usage, and build output-scoring systems to root-cause hallucinations and logic errors.
• Write clean, scalable, and maintainable TypeScript code across the Next.js and Node.js stack.
• Build reliable backend logic for AI systems, with strong error handling, request validation, fallback flows, and predictable behaviour in production, including reliable tool execution and AI-to-service integrations.
• Ensure high code quality through testing, code reviews, and clear engineering standards.
• Monitor, troubleshoot, and improve production performance, reliability, and system health.
• Drive maintainability and technical quality through solid architecture, refactoring, and disciplined release practices.

Senior AI Engineer

• Build AI-assisted tooling for engineering workflows
• Improve developer productivity and operational efficiency
• Design systems that reduce repetitive manual engineering work
• Support large-scale multi-component software delivery environments
• Develop AI-driven solutions for pipeline analysis, failure classification, flaky test detection, release validation, dependency impact analysis, build optimization, deployment risk analysis
• Improve reliability and visibility of engineering pipelines
• Build AI systems for troubleshooting assistance, incident investigation, log analysis, engineering knowledge retrieval, operational recommendations
• Automate engineering support and operational workflows
• Design and implement engineering copilots, RAG systems, context management systems, internal engineering assistants, workflow automation agents
• Integrate AI with engineering systems, repositories, CI/CD platforms, documentation, observability tools, and operational data sources
• Deploy and maintain production-grade AI services
• Ensure observability, monitoring, evaluation, and operational reliability
• Optimize AI systems for latency, cost, and scalability
• Maintain secure and maintainable integrations

Junior AI Engineer

• Advanced Prompt Engineering: Designing complex, dynamic prompt templates with conditional logic and efficiently reusing information and context within prompts to maximize generation quality and reasoning.
• Structured Outputs & Schemas: Implementing various response schemes (JSON mode, function calling, Zod/JSON schemas) to ensure AI outputs are predictable and ready for seamless integration into application logic.
• Prompt Engineering & Evaluations: Building robust evaluation pipelines and using Langfuse to collect feedback and score the quality of responses in real time.
• Tracing & Debugging: Performing deep debugging of complex LLM chains using Langfuse traces to identify bottlenecks and optimize for cost, latency, and context window usage.
• AI A/B Testing: Running systematic experiments across different models via OpenRouter (e.g., comparing Claude 3.5 Sonnet vs. GPT-4o) and analyzing results based on quantitative metrics.
• Data-Driven Decisions: Making deployment decisions for new prompts or models strictly based on quantitative benchmarks and trace data, rather than intuition.
• Output Scoring & Analysis: Developing scoring systems to analyze the “Problem → Solution” chain and identify root causes of hallucinations or logic errors using Langfuse analytics.
• Model Performance & Fine-Tuning: Regularly re-evaluating model performance as new architectures emerge and performing fine-tuning when necessary to meet specific domain requirements.

• Architect the harness.
• Design the agents.
• Pick the models.
• Run the evals.
• Wire up the tools.
• Ship.
• Improve based on real usage.
• Repeat.

AI Developer

Machine Learning Engineer

• Maintain, improve, and extend our existing RAG pipeline — including chunking strategies, retrieval optimisation, re-ranking, and evaluation.
• Help design and implement an agentic layer on top of the RAG system, integrating tools, memory, and multi-step reasoning using frameworks such as LangChain, LangGraph, or similar.
• Experiment with prompting strategies, agent architectures, and LLM integrations (OpenAI, Anthropic, open-source models).
• Contribute to the design and development of churn prediction and early identification of customer behaviour models.
• Help build personalised recommendation systems supporting marketing campaigns and player engagement.
• Support advanced customer segmentation initiatives.
• Assist in building and maintaining end-to-end ML pipelines — from data ingestion and feature engineering to model training, deployment, and monitoring.
• Write clean, production-ready Python code and contribute to shared tooling and best practices.

See all jobs on JobTailor

Senior AI Engineer

Junior AI Engineer

AI Engineer

AI Developer

AI & ML Engineer