AI Engineer
Finom
Software Engineering, Data Science
Cyprus
Posted on May 21, 2025
We seek a versatile and passionate AI Engineer to join our Finom AI team.
This team has a mission to utilize novel approaches in the field of AI Agents to create innovative Fintech customer-centric AI products (such as Customer Care Bot, etc.) or to streamline company daily operations (such as transaction monitoring, sales processes, etc.).
The environment is super fast-paced, rapidly evolving, and even comparable to magic. As a team member, you will define our AI product vision and architecture. You will use world-class analytical, engineering, and machine-learning techniques to evolve and scale AI Solutions in the rapidly growing Fintech world.
What You Will Be Doing
- Build and deploy robust AI solutions for customers and internal teams
- Design and deliver products utilizing novel GenAI-based approaches, such as RAG, LLM Agents, etc.
- Develop approaches for evaluating and optimizing LLM-based pipelines to ensure a solid foundation for improving business KPIs by validating hypotheses.
- Optimize open-source LLMs to achieve high-quality performance in a narrow domain, enabling the use of these models without relying on large proprietary ones
- Participate in strategic planning, brainstorming & prioritization sessions to improve the product
- Collaborate with technical and non-technical colleagues to deliver high-quality software solutions
- Stay updated with industry trends and technologies to bring innovative ideas to the team.
Who you are
- Proficiency in Python. Experience in async programming in Python
- Hands-on experience with Large Language Models and passion to build AI Agents
- Enjoy working across the full stack, contributing to all layers of feature development: designing, developing, and maintaining backend services
- Proficiency in working with databases and data storage solutions
- Solid understanding of software development principles, design patterns, and best practices.
- Data-driven mindset with a passion for experimenting and using customer feedback to drive decision-making
- Excellent problem-solving skills and the ability to pay attention to detail and to collaborate with cross-functional teams
- Pick up new ideas and technologies quickly, love learning and talking to others about them
Nice to have
- Familiarity with LangChain, LangGraph, MCP and its applications (or alternatives)
- Hands-on experience with DataBricks, Spark and MLFlow
- Experience in fine-tuning, optimizing and deploying open-source LLMs for domain-specific applications
- Comprehensive understanding of classical machine learning techniques.
- Knowledge of Natural Language Processing (NLP), especially transformer-based approaches, is a plus.
- Skilled in developing and maintaining analytical dashboards for business and ML metrics
- Back-end experience