We are looking for a Senior AI Platform Engineer to join our team at ORIL. This is an opportunity to work on a high-stakes AI-driven platform where performance, reliability, and data integrity are at the core of everything we build. If you thrive in a fast-paced startup environment, take full ownership of your systems, and have a “ship-fast-but-stable” mindset, we want to talk to you. About the project Our client is a US-based innovator pushing the boundaries of AI workflows. We are building sophisticated, multi-step AI systems that require deep observability, robust data pipelines, and a seamless CI/CD process to maintain high velocity without sacrificing quality.
Tech Stack: Python, AI/LLM Orchestration, Distributed Tracing, AWS, PostgreSQL, Modern CI/CD. What are we looking for? * 4+ years of experience building and owning production-grade backend systems in Python; * Recent experience instrumenting distributed tracing or node-level observability for multi-step AI workflows to diagnose complex bottlenecks; * Proven ownership of end-to-end data pipelines: from ingestion and embedding to retrieval validation and schema enforcement; * Hands-on experience setting up CI/CD gates that run evals, schema validation, or integration tests automatically before a merge; * High shipping velocity: track record of shipping 5+ pull requests in a single day on a production codebase, each closing a distinct issue; * Latency Optimization: experience profiling and fixing bottlenecks in Python backends (P95 < 1.5s) for real-time or near-real-time requests; * System Responsibility: experience owning systems with a high “blast radius” where other engineers depend on your changes daily; * Experience writing deployment SOPs or runbooks that allow others to execute deployments without direct involvement; * Technical Stack: Proficient in LangGraph (state machines, node composition), PostgreSQL (pgvector), and RAG pipelines; * English level: Upper-Intermediate (B2+).
What will you do? * Develop and maintain multi-step AI workflows and the infrastructure that supports them; * Set up and improve CI/CD gates that run integration tests and schema validations automatically before every merge; * Maintain a high shipping tempo (handling multiple PRs daily) while keeping the codebase clean; * Write deployment SOPs and runbooks to ensure system stability and team autonomy; * Diagnose and fix complex issues in distributed systems using advanced tracing tools; * Work closely with the engineering team to refine the technical roadmap and ensure architectural consistency.
We offer: * Competitive compensation; * Flexibility to work from anywhere (fully remotely or in our office in Lviv); * Accounting Support Services; * Education budget + corporate education events/trainings; * Compensation for certifications, fitness, or therapy sessions; * A dynamic environment where your proactivity is recognized and rewarded.
Application Process: * Initial Screening: Call with Recruiter. * Technical Interview: Be ready to share specific examples of diagnosing bottlenecks and managing data pipelines. * Client Interview.
Ready to build the future of AI infrastructure? Apply now and let’s get to work!
