Ai Engineer

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.
- ** 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.
- 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.

**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.