AI/ML Engineer

About the Position

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.

Responsibilities

• 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.

Requirements

• 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+).

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!

Thanks for applying, we will contact you soon.

Contact Person

Olena Blyshchak