- AI
- Python
- TypeScript
- Testing
- Angielski
- LLM
- CLI
Required Experience & Qualifications
- AI & Agentic Engineering: Deep understanding of modern AI patterns—including agentic workflows, Model Context Protocol (MCP), tool use, prompt and context engineering, and structured instruction design.
- Hands-on Agent Experience: Proven experience applying Claude Code (or comparable AI coding agent frameworks) to complex software engineering or business automation problems.
- Core Software Engineering: Solid background in building, reviewing, and maintaining production-quality software solutions using modern programming languages (e.g., Python, TypeScript).
- System Architecture & Ownership: Demonstrated ability to make and defend foundational platform decisions, design shared developer infrastructure, and govern platform-level standards.
- Evaluation of Non-Deterministic Systems: Hands-on experience testing, debugging, and improving non-deterministic LLM-driven applications.
- Business-to-Technical Translation: Ability to interface with non-technical stakeholders, extract operational knowledge, and translate it into robust technical designs.
Preferred Qualifications (Nice to Have)
- Claude Ecosystem Mastery: Direct experience authoring official Claude Code Skills, custom plugins, or Model Context Protocol (MCP) servers.
- LLM Evaluation Frameworks: Familiarity with evaluation and observability tools such as Promptfoo, LangSmith, or custom evaluation harnesses.
- Domain Knowledge: Exposure to enterprise business domains such as HR technology, compensation & benefits, payroll, or workforce analytics.
- Developer Tooling Background: Prior experience building internal developer platforms (IDP), CLI tools, or enterprise integration harnesses.
- Consulting & Public Artifacts: Background in technical consulting/professional services, or public contributions (open-source agent tooling, published skills/plugins, technical articles, or conference talks on agentic engineering).
- Architecture & Technical Leadership
- Define Platform Standards: Establish and enforce quality bars, design patterns, shared infrastructure, and review criteria for well-formed AI skills.
- Architectural Oversight: Own the long-term technical roadmap, including evaluation frameworks, release strategies, integration patterns, and backwards compatibility.
- Team Guidance: Provide technical leadership and direction to engineering teams through code reviews, architectural unblocking, and mentorship.
- Strategic Decision-Making: Evaluate and justify platform-level choices regarding agent harnesses, integration architectures, and build-versus-adopt strategies.
- Skill Development & Engineering
Opis oferty
We are seeking an experienced AI Architect to lead the technical direction and delivery of reusable capabilities for Claude Code . In this role, you will bridge the gap between complex business requirements and cutting-edge AI execution by designing robust, production-grade skills and platform standards. Operating at the intersection of software engineering, agentic architecture, and process automation, you will act as a technical leader, guiding engineers and collaborating closely with business stakeholders to build scalable, non-deterministic AI solutions.
Join the group of high-performing tech consultants