AI Architect

180 - 200 PLN/ godz./ godz.

NieokreśloneOn-siteFull-time

#461171·Dodano 26 dni temu·3

Źródło: LinkGroup

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Tech Stack / Keywords

Claude CodeModel Context Protocol (MCP)Python TypeScript LLMPromptfooLangSmithCLIIDP

Podsumowanie oferty

Lead the technical direction and delivery of reusable capabilities for Claude Code, designing production-grade skills and platform standards. Build reusable AI agent workflows and guide engineering teams in creating scalable AI solutions.

Wymagania

Required Experience & Qualifications

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 building, reviewing, and maintaining production-quality software using modern programming languages such as Python and 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 work 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

Define and enforce quality standards, design patterns, shared infrastructure, and review criteria for AI skills.
Own the technical roadmap, including evaluation frameworks, release strategies, integration patterns, and backwards compatibility.
Guide engineering teams through code reviews, architectural unblocking, and mentorship.
Evaluate and justify platform-level choices about agent harnesses, integration architectures, and build-versus-adopt strategies.

Skill Development & Engineering

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

Stakeholder Collaboration & Automation

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

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