Applied AI Engineer

Description We’re looking for an Applied AI Engineer to join the Algorithmics team in a hands-on R&D role focused on building production AI systems for visual content creation. The role is less about training models from scratch and more about building intelligent systems on top of existing image, video, and language foundation models. You’ll work at the intersection of research, product, and engineering- building real-world AI capabilities used in production by creative teams. Responsibilities Build AI workflows for visual content using image/video models, LLMs, and agentic systems. Design orchestration and context-management layers (brand rules, assets, templates, user intent, constraints). Prototype and validate new capabilities through data-driven experiments (metrics, evaluation sets, A/B testing, error analysis). Take projects end-to-end from research to production deployment, monitoring, and iteration in cloud environments. Work with AI-first development tools (e.g. Claude Code, Cursor, Codex) to accelerate development. Requirements 3–5 years of experience in AI/ML, Computer Vision, or related R&D roles. Strong Python and software engineering skills, with production-level delivery experience. Experience with LLMs and foundation models (APIs, prompt engineering, orchestration, structured outputs, agents). Background in Computer Vision / image processing / generative systems. Experience designing experiments, evaluation methods, and working with large-scale data pipelines. Experience with cloud environments (AWS / GCP / Azure). Comfortable working independently in fast-moving, ambiguous environments. Advantages 1–2 years experience in Generative AI (image/video/diffusion/multimodal). Experience with AI agents and workflow orchestration. Experience with evaluation frameworks for LLMs or multimodal systems. Background in product companies (gaming / creative AI / design tools / visual content).