AI Engineer

June 11, 2026
Application ends: September 10, 2026
Apply Now

Job Description

Key Responsibilities

  • 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.

Qualifications

  • 6+ years of backend/full-stack software engineering experience, including production-grade TypeScript/Node.js. Experience with Next.js and/or Python is a plus.
  • 2+ years of experience building AI/LLM systems in production. Less experience may be considered for exceptional candidates.
  • Deep hands-on experience working with LLM APIs (OpenAI, Anthropic, or similar) in production environments.
  • Experience with Agentic AI, multi-agent orchestration, tool-based workflows (function calling/tool execution), and/or RAG pipelines, including indexing, retrieval, and re-ranking.
  • Experience with LLM observability tools such as Langfuse, LangSmith, or similar platforms.
  • Experience with AI gateways and model routing solutions, such as OpenRouter or equivalent technologies.
  • Solid understanding of Redis and relational databases, such as PostgreSQL.
  • Exceptional ownership mindset and personal responsibility for engineering quality and delivery.

Nice to have

  • Experience with AI-centered development tools such as Cursor, Claude Code, Windsurf, or similar platforms.
  • Familiarity with evaluation frameworks, including LLM-as-a-judge, RAGAS, or similar approaches.
  • Experience working in high-pressure startup environments with rapid product iteration cycles.
  • Experience with MCP (Model Context Protocol), including building MCP servers/clients or designing tool contracts for AI agents.
  • Experience with edge and serverless runtimes, such as Cloudflare Workers, and supporting services including KV, Durable Objects, Queues, R2, and D1.
  • Experience with payments, billing and checkout flows, or orchestration platforms.
  • Practical experience fine-tuning models for domain-specific tasks or achieving strict JSON/schema compliance.
  • Working proficiency in Python for data science, evaluation scripts, or AI tooling.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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