AI Engineer

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