We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.
Currently, we are looking for a AI Engineer.
Location: Remote
Job Type: Full-Time About our client:
We are a specialized design bureau in the private equity sector, focused on driving innovation and development across a diverse portfolio of companies owned by our group of investors. Our team delivers value through three core pillars: * Long-term Project Development: We execute and support extensive projects in both physical and digital realms, ranging from ski resorts and clinics to enterprise-level CRM systems. * Research and Rapid Prototyping: We explore cutting-edge technologies, providing proof-of-concept solutions to accelerate innovation in AI applications and other emerging fields. * Secure Infrastructure Deployment and Maintenance: Our platform team ensures robust, scalable, and secure infrastructure for ongoing operations across the group’s businesses and startups.
In essence, we are an R&D powerhouse supporting the technological and operational growth of companies within our investors’ portfolio, bridging vision and execution for transformative outcomes. Role Overview: We’re looking for an AI Engineer to design and deliver real-world AI systems. You’ll work hands-on with large language models, vector search, and prompt engineering — and extend beyond text modality by integrating vision and speech models. From knowledge aggregation across multiple sources — unifying text, images, and audio into coherent outputs — to agentic systems that can plan, reason, and act on data, your focus will be on combining, tuning, and deploying existing AI solutions into robust, production-ready systems.
You’ll be joining an R&D team that brings together experts across product, DevOps, software engineering and AI research. Responsibilities: * Drive R&D multiple projects from design to deployment in an iterative improvement cycle. * Build rapid prototypes, validate hypotheses and integrate AI blocks into user-focused applications and data pipelines. * Design and implement LLM-based features to solve real-world problems, including document understanding, content summarization, and interactive Q&A. * Develop agentic AI workflows that combine reasoning, tool calling, memory management and context engineering to automate complex tasks. * Leverage RAG, vector databases, chunking techniques, and hybrid search methods to efficiently manage context and information retrieval. * Integrate monitoring and evaluation best practices to track AI model performance and control costs, ensuring system observability to detect and address possible issues. * Incorporate vision and speech capabilities to extend AI solutions beyond text in multimodal tasks. * Fine-tune and adapt pre-trained models to meet specific project needs. * Collaborate closely within a team to bring AI solutions to production.
Requirements:
Education: * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Experience: * 3+ years in AI engineering with a strong portfolio of real-world projects. * Strong hands-on experience with LLMs including, prompt engineering, RAG implementations, AI agents, evaluation, observability, fine-tuning pre-trained models, 3rd party hosted providers and local LLMs. * Experience with other DL/ML tasks in vision and speech modalities for classification, generation, document understanding and transcription.
Technical Skills: * Proficient in Python and relevant AI frameworks (e.g., LangChain, LangGraph, LlamaIndex, OpenAI SDK, Hugging Face Transformers). * VCS (GitHub, GitLab). * Cloud: development and deployment experience on AWS, GCP, or Azure. * Deployment skills for AI services via APIs or batch workflows, including containerization with Docker.
Soft Skills: * Excellent problem-solving skills. * Commitment to continuous learning, staying up-to-date with state-of-the-art research, following leading AI researchers, and exploring emerging tools and techniques. * Team-oriented with collaborative mindset. * Strong communication and presentation skills to explain complex technical concepts to both technical and non-technical audiences. * Upper-Intermediate English level.
What’s next?
If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.
We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.
