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AI Architect

180 - 200 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#461533·Dodano 26 dni temu·7

Źródło: justjoin.it

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Tech Stack / Keywords

AI ArchitectureClaude CodeAgentic WorkflowsPython TypeScript

Podsumowanie oferty

Lead the technical direction and delivery of reusable capabilities for Claude Code. Design production-grade AI skills and platform standards, and guide engineers building scalable agentic solutions.

Wymagania

Deep understanding of modern AI patterns, including agentic workflows, Model Context Protocol (MCP), tool use, prompt and context engineering, and structured instruction design.
Proven experience applying Claude Code or comparable AI coding agent frameworks to complex software engineering or business automation problems.
Solid background in building, reviewing, and maintaining production-quality software solutions using modern programming languages such as Python or TypeScript.
Demonstrated ability to make and defend foundational platform decisions, design shared developer infrastructure, and govern platform-level standards.
Hands-on experience testing, debugging, and improving non-deterministic LLM-driven applications.
Ability to interface with non-technical stakeholders, extract operational knowledge, and translate it into robust technical designs.

Nice to have:

Direct experience authoring official Claude Code Skills, custom plugins, or Model Context Protocol (MCP) servers.
Familiarity with evaluation and observability tools such as Promptfoo, LangSmith, or custom evaluation harnesses.
Exposure to enterprise business domains such as HR technology, compensation and benefits, payroll, or workforce analytics.
Prior experience building internal developer platforms (IDP), CLI tools, or enterprise integration harnesses.
Background in technical consulting or professional services, or public contributions such as open-source agent tooling, published skills or plugins, technical articles, or conference talks on agentic engineering.

Obowiązki

Architecture & Technical Leadership:

Establish and enforce quality bars, design patterns, shared infrastructure, and review criteria for well-formed AI skills.
Own the long-term technical roadmap, including evaluation frameworks, release strategies, integration patterns, and backwards compatibility.
Provide technical leadership and direction to engineering teams through code reviews, architectural unblocking, and mentorship.
Evaluate and justify platform-level choices regarding agent harnesses, integration architectures, and build-versus-adopt strategies.

Skill Development & Engineering:

Build, test, and maintain production-ready, reusable Claude Code Skills, supporting scripts, validation logic, and context assemblies.
Convert complex or ambiguous business domain workflows into structured, deterministic, and executable instructions for AI agents.
Establish realistic test suites, evaluation scenarios, and acceptance criteria to measure and improve the reliability, accuracy, and usability of non-deterministic systems.

Stakeholder Collaboration & Automation:

Partner with business stakeholders and domain experts to analyze processes, constraints, and documentation to pinpoint automation opportunities.
Identify high-impact use cases across business operations that can be streamlined through custom AI agent workflows.

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