AI/ML Engineer

$$$$

ORIL is seeking a highly skilled Senior AI/ML Engineer to architect and scale our mission-critical, AI-driven data platform. At the core of our engineering culture is a steadfast commitment to performance, reliability, and uncompromising data integrity. The ideal candidate is an autonomous problem-solver who thrives in an agile environment, takes end-to-end ownership of complex systems, and pairs a bias for action with a dedication to robust, stable deployments.

 

Project:

Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product uses BI and AI analytics to help operators optimize marketing spend and operational efficiency. A core AI feature of this platform is an intelligent chatbot designed to help users seamlessly manage workflows, query data, and surface actionable insights.

 

What are we looking for?

 

  • 5+ years of experience building and owning production-grade backend and ML systems in Python;
  • Proven experience designing and deploying complex, multi-step LLM workflows and conversational agents (chatbots) using frameworks like LangChain or LangGraph;
  • Deep understanding of RAG (Retrieval-Augmented Generation) pipelines: from chunking and embedding strategies to retrieval optimization and prompt engineering;
  • Experience with "Text-to-SQL" or translating natural language into complex data queries, as the chatbot will interact heavily with BI analytics;
  • Experience with LLM observability, tracing, and evaluation frameworks (e.g., Langfuse, Braintrust, Arize Phoenix, Ragas, or DeepEval);
  • Experience with systematic prompt lifecycle management, versioning, and algorithmic optimization (e.g., DSPy);
  • Experience profiling and minimizing time-to-first-token (TTFT) and overall response latency for real-time conversational agents;
  • Strong analytical skills with the ability to explore datasets, identify patterns, measure outcomes, and derive actionable insights; 
  • Familiar with data cleaning and normalization techniques to ensure accurate, consistent, and reliable data for analysis and AI-driven applications;
  • Curious about how multi-family real estate works and motivated to understand the key metrics behind the business (marketing spend, operational efficiency etc.) to better tune AI outputs;
  • English level: Upper-Intermediate (B2+).

 

What will you do?

  • Design, develop, and own the core AI architecture powering the platform's intelligent chatbot and automated BI insights;
  • Build and refine advanced RAG pipelines to ensure the chatbot surfaces accurate;
  • Develop robust AI agents capable of managing platform processes and executing complex operational tasks on behalf of the user;
  • Set up and maintain automated CI/CD gates that run LLM evals and integration tests;
  • Maintain a high shipping tempo, continuously iterating on chatbot features based on user feedback and internal telemetry;
  • Diagnose and fix complex issues in the AI pipeline using advanced tracing and observability tools;
  • Work closely with data engineers and product managers to refine the technical roadmap and ensure the AI seamlessly integrates with the broader BI platform.

 

We Offer:

Working conditions:

  • Ability to grow with an ambitious niche-focused company
  • Competitive compensation;
  • Accounting Support Services;
  • Flexibility to work from anywhere (fully remotely or in our office in Lviv);
  • Comprehensive day-off policy, including public holidays and special events
  • Education & certification budget + corporate education events and trainings
  • Wellness budget
  • The environment and culture that promotes personal and team development.

 

Application Process:

  • Initial Screening: Call with Recruiter.
  • Technical Interview.
  • Client Interview.
     

Ready to build the future of AI-driven real estate operations? Apply now and let’s get to work!

Required skills experience

AI/ML 5 years
LLM 5 years
Python 5 years

Required languages

English B2 - Upper Intermediate
Ukrainian Native
Published 22 June
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