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
