Senior AI Engineer

🌎Akvelon is an American company with offices in Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. 

To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.

About the project:
We’re looking for a Senior AI Engineer to join a digital transformation initiative at a leading global private equity firm. The project focuses on building AI-driven solutions — including document AI and LLM-based systems — to automate insights extraction from complex financial materials and support investment decision-making, valuation, and due diligence workflows.

About the role:
You’ll design and build end-to-end AI systems: LLM pipelines, RAG architectures, and automated evaluation frameworks. Responsibilities include fine-tuning models, designing accuracy and hallucination evaluation metrics, and integrating AI solutions into core business processes. The role combines deep ML/LLM expertise with the ability to translate model outputs into actionable business insights.

Requirements:

Must have:

• Strong Python and ML ecosystem experience (PyTorch / TensorFlow / Hugging Face)
• Ownership of agent-based systems
• Hands-on experience with LLM systems (fine-tuning, evaluation)
• Solid understanding of RAG architectures
• Cloud platforms and Docker

Nice to have:

• Knowledge of finance or private equity domain
• MLOps experience
• Business analytics understanding
• Background in finance, consulting, or technology projects
• Experience with production multi-agent systems

Benefits:

• Paid vacation and sick leave
• Official state holidays — 9-11 public holidays per year
• Professional growth through challenging projects and the opportunity to master new technologies
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support programs (discounts, healthcare, legal assistance)
• Paid external training, conferences, and professional certifications aligned with business goals
• Internal workshops, seminars, and English classes
• Corporate library with paper and e-books

If this role sounds like a match, apply now and send us your CV.