Principal AI Engineer

CHI Software is a global software development services provider delivering AI-driven solutions, cloud services and data engineering across EdTech, FinTech, HealthTech. We help businesses modernize, scale, and unlock new value through the latest technologies.

We are looking for a Principal AI Engineer.

We’re looking for a Principal AI Engineer to shape the architecture, strategy and technical evolution of enterprise-scale AI platforms and GenAI-powered products.

This is a hands-on technical leadership role for an experienced engineer who can operate at both architectural and implementation levels, influence multiple teams and turn AI capabilities into scalable, production-ready solutions.

Key Responsibilities

• Define and own the architecture and technical direction of enterprise AI platforms.
• Lead the development of RAG pipelines, AI orchestration, and reusable AI tooling.
• Design and build scalable, production-grade AI systems and POCs.
• Establish standards for AI quality, evaluation, governance, observability, and MLOps.
• Drive cross-team architecture decisions, resolve technical trade-offs, and align engineering teams.
• Shape AI-driven SDLC practices, including AI-assisted development, automation, and guardrails.
• Mentor senior engineers and raise engineering quality through architecture and code reviews.
• Collaborate closely with Product, Data, Security, and Infrastructure teams.

Technical & Leadership Profile

• Extensive software engineering experience at Staff/Principal level, with a proven ability to shape architecture and technical direction.
• Strong Python engineering background and hands-on experience building production AI systems.
• Deep understanding of LLM applications, RAG, vector databases, retrieval infrastructure, semantic search.
• Experience with LangChain, LlamaIndex, or similar AI frameworks.
• Strong background in distributed systems, APIs, data pipelines, event-driven architectures and high-scale platforms.
• Experience with AI evaluation, model lifecycle management, observability, MLOps.
• Hands-on experience with AI coding assistants such as Claude Code, GitHub Copilot, or Cursor, with a clear understanding of their impact, workflows, and guardrails.
• Proven ability to lead cross-org technical initiatives and architectural change without formal authority.
• Strong engineering fundamentals across code quality, testing, CI/CD, observability.
• Excellent communication, documentation, mentoring, stakeholder management skills.

Our perks

• Covered vacation period: 20 business days and 5 days off
• Free English classes
• Flexible working schedule
• Truly friendly and supporting atmosphere
• Working remotely or in one of our offices
• Medical insurance for employees from Ukraine
• Legal support