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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.
Job Responsibility
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+).
What we offer
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.