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.

• Implement AI-powered product features and workflows based on specifications from senior engineers.
• Write, iterate on, and manage production prompt templates following established patterns for dynamic prompting and context injection.
• Participate in prompt experimentation workflows by drafting variants, running A/B tests across models via OpenRouter, and documenting results.
• Integrate structured output schemas (JSON mode, function calling, Zod/JSON schemas) to ensure AI responses are predictable and application-ready.
• Build and maintain output enforcement mechanisms such as validators and repair loops under senior guidance.
• Help implement tool calling and function calling integrations so AI features can fetch data or trigger actions, following patterns established by senior engineers.
• Contribute to evaluation pipelines and help assess prompt and model quality using Langfuse.
• Write clean, maintainable TypeScript code within the Next.js and Node.js stack.
• Participate in code reviews and incorporate feedback.
• Document technical decisions and system behaviour to support knowledge sharing.
• Collaborate with product, growth, data, and billing teams to deliver features on time.

Junior AI Engineer

• Develop solutions to integrate and optimize language models within the botario platform
• Monitor trends and advances in NLP and AI research
• Deploy and operate LLMs in production on the botario platform for customers
• Experiment with new models and architectures
• Evaluate LLMs with respect to response quality, latency, and cost

Senior AI Engineer

• Conduct deep customer discovery to validate/refine our ICP and value proposition
• Transform our categorization framework from 'urgency + impact' to 'connected storylines over time'
• Design the product experience that makes competitive intelligence feel like having a strategic analyst on your team
• Define and measure product-market fit metrics
• Evolve our single-prompt AI analysis into multi-stage reasoning that connects data points across time
• Design pattern recognition features that surface 'what this means' not just 'what happened'
• Work with our tech co-founder to improve insight quality through better prompting and data models
• Build feedback loops that make our AI smarter over time
• Develop product-led growth strategies to convert trial users to paying customers
• Create in-product experiences that demonstrate value within first 24 hours
• Help articulate positioning against both manual research and traditional CI tools

Product Co-Founder – Competitive Intelligence AI Platform

• Own the roadmap for the central AI platform, including agent runtime, evaluation frameworks, pipelines, and observability.
• Run focused experiments on new AI capabilities, proving what works and either shipping a v1 or enabling product teams to take it further.
• Enable teams across Moss to build, test, and deploy AI-powered products with greater speed, quality, and confidence.
• Work closely with Engineering, Data Science, Product, and leadership to prioritise the highest-impact platform investments.
• Balance strategic platform ownership with tactical depth on agent behaviour, prompts, accuracy, and production quality.

Senior Product Manager – AI Platform

• As an AI Engineer at Aceve, you will design, build, and deploy the internal AI solutions that power our digital transformation across the group’s portfolio companies.
• You’ll take ownership of the full lifecycle of internal AI products — from scoping with business stakeholders through to deployment and continuous improvement.
• Design and build AI agents, automations, and LLM integrations that solve real operational challenges across ACEVE Group’s portfolio companies.
• Partner with business teams to understand their workflows, identify high-impact AI opportunities, and translate them into working solutions.
• Iterate on deployed solutions based on real-world usage and feedback, ensuring adoption and continuous improvement.
• Contribute to a shared engineering foundation — reusable components, patterns, and best practices that scale across the group.
• Evaluate and recommend new AI tools, models, and frameworks that could advance Aceve’s internal capabilities.
• Document your solutions clearly so business teams and colleagues can understand, maintain, and build on them.
• Support the AI Champions network with technical guidance and pair-building sessions, helping colleagues across departments implement AI in their daily work.
• Run occasional hands-on or remote workshops when deep technical expertise is needed, and gather user feedback directly across ACEVE’s multiple markets.

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AI Engineer

Junior AI Engineer

Senior AI Engineer

Product Co-Founder – Competitive Intelligence AI Platform

Senior Product Manager – AI Platform

AI Engineer