2 месяца назад
Senior Applied AI Engineer (Multimodal AI Systems & Generative Imaging)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied AI Engineer (Multimodal AI Systems & Generative Imaging): Build and evaluate multimodal AI workflows for image generation/editing and LLM/VLM-assisted agents with an accent on brand fidelity, safety, cost/latency optimization, and regression risk. Focus on turning ambiguous creative customer workflows into reusable production code, eval harnesses, agent workflows, and production-ready APIs.
Company
provides a private, model-agnostic layer for knowledge, generation, and evaluation to make creative AI usable in production.
What you will do
- Build and evaluate AI workflows for image generation/editing, style transfer, inpainting, visual QA, multimodal pipelines, and LLM/VLM-assisted agents.
- Optimize quality, brand fidelity, consistency, safety, cost, latency, and regression risk across production workflows.
- Convert successful prototypes and product insights into reusable production code, internal tools, eval suites, prompts, policies, and shared platform capabilities.
- Design feedback and evaluation systems that translate approvals, rejections, edits, and production traces into measurable improvements without degrading existing quality.
- Collaborate with product, design, ML, and client-facing teams to translate subjective creative feedback into reproducible constraints, rubrics, and generation logic.
- Stay current on the AI landscape and help decide which new models and evaluation methods to adopt.
Requirements
- Strong Python engineering experience turning notebooks/scripts into reusable, tested, production-ready AI workflows.
- Practical expertise in image-generation and image-editing/computer-vision pipelines (image-to-image, style transfer, inpainting, character/style consistency, multimodal reasoning).
- Ability to design evaluation systems for generative AI (golden datasets, visual comparison grids, LLM/VLM judges, human review rubrics, regression testing, failure taxonomies, quality gates, feedback loops).
- Practical experience building LLM/VLM-assisted or agentic workflows (tool use, structured outputs, planning/orchestration, human-in-the-loop review, or automated QA).
- English: strong spoken English to discuss technical tradeoffs and subjective creative feedback with colleagues and customers.
- Timezone: comfortable working primarily on CET hours.
Culture & Benefits
- Distributed team across Europe with remote work fully supported; London-based candidates can work from the office.
- 28 days of holiday total, including bank holidays (using local bank holidays if not based in England and Wales).
- Compensation includes salary and equity; salary is benchmarked based on market and years of experience.
Hiring process
- Submit a CV/LinkedIn plus links to relevant work (GitHub, portfolio, technical articles, open-source contributions, or a short case study).
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