ai engineer for publishing workflows

Better Collective develops technology and information products for the publishing business, including AI-driven solutions and AI-assisted publishing workflows.

• Build, run, and evaluate proof-of-concept and MVP initiatives, especially for automated content creation and AI-assisted publishing workflows;
• Develop practical AI solutions using LLMs, APIs, orchestration frameworks, retrieval systems, automation pipelines, and agentic workflows;
• Experiment with new tools, frameworks, models, and technical approaches;
• Translate business needs into working technical solutions focused on reliability, speed, and measurable value;
• Take ownership of assigned technical tasks and move work forward independently;
• Identify opportunities, blockers, and next steps proactively;
• Report progress clearly to the Tech Lead / AI Tech Manager and follow agreed priorities, processes, and reporting lines;
• Collaborate with QA, product, editorial, and production teams to validate model outputs and improve reliability;
• Support the handover of validated PoCs and MVPs into production-ready solutions;
• Stay current with emerging AI frameworks, LLM capabilities, coding agents, evaluation methods, and AI engineering best practices.

• Strong hands-on experience with AI/ML tools, LLMs, API integrations, and AI application development;
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks;
• Solid programming skills, preferably in Python and/or TypeScript;
• Practical understanding of prompt engineering, retrieval-augmented generation, agents, workflow automation, model evaluation, and output validation;
• Experience using Codex, Cursor, Claude Code, GitHub Copilot, or similar agentic coding tools to build real software;
• Ability to move quickly from idea to prototype while maintaining sound engineering judgment;
• Strong analytical skills and ability to test model outputs, interpret feedback, and improve system design;
• Comfort with ambiguity, fast iteration, and unfamiliar technical problems;
• Ability to work independently while keeping managers informed and following agreed direction;
• Clear communication skills for cross-functional collaboration;
• Hands-on coding, debugging, API integration, AI-powered workflow design, output evaluation, and production-oriented system development; no-code or low-code experience alone is insufficient;
• Highly technical, curious, pragmatic, delivery-focused, proactive, accountable, communicative, and comfortable learning independently;
• Candidates must document and present a personally built project, prototype, workflow, pipeline, or technical solution that actively uses AI; the documentation must cover the problem, AI usage, tools and implementation approach, outcomes, failures, changes, and practical value;
• Nice to have: Experience with Make, Zapier, Lovable, Bolt, or similar platforms.

• Competitive compensation, reviewed regularly;
• Health and wellbeing support, including insurance or equivalent local benefits;
• Flexible working arrangements;
• Paid sick leave;
• Extra paid time off on top of statutory requirements;
• All necessary equipment provided;
• Additional benefits or allowances adapted to location.