обновлено 2 часа назад
AI Solutions Architect (Freelance)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solutions Architect (Freelance) (LLM/Agentic AI): Designing and guiding production-scale AI products, APIs, and multi-agent platforms with an accent on RAG architectures, MCP ecosystems, cloud-native deployment, and responsible AI governance. Focus on orchestrating agent workflows, integrating enterprise systems, establishing observability and evaluation pipelines, and securing LLM-based systems against operational and compliance risks.
Location: Europe, Ukraine; remote, home, and office work options are available
Company
is a global digital transformation and software solutions company serving supply chain, healthtech, software, high-tech, and gaming domains.
What you will do
- Design and guide implementation of AI-driven products, APIs, and platform features from concept through production.
- Evaluate, select, and benchmark frontier, fine-tuned, and open-source AI/ML models.
- Architect scalable, observable, and cost-efficient AI systems across experimentation, staging, and production.
- Design MCP server ecosystems and multi-agent workflows using LangGraph, CrewAI, AutoGen, A2A, and ACP.
- Introduce AI into developer environments, testing, deployment pipelines, code review, estimation, and technical documentation.
- Establish security, governance, compliance, observability, and evaluation practices for production LLM systems.
Requirements
- 5+ years of experience in AI/ML solution architecture and a track record of taking AI systems from prototype to production at scale.
- Deep expertise in LLMs, prompt and context engineering, RAG architectures, vector databases, and agentic AI orchestration.
- Strong Python proficiency and working knowledge of another language such as Go or TypeScript.
- Experience deploying cloud-native AI solutions on AWS, GCP, or Azure, including managed LLM services.
- Knowledge of software engineering fundamentals, including design patterns, API design, testing, CI/CD, observability, and production monitoring.
- Experience with AI roadmaps, enterprise integrations, AI compliance and governance, explainability, and leading engineering teams.
Nice to have
- AI security experience, including prompt-injection mitigation, MCP hardening, and OAuth 2.x for agents.
- Knowledge of emerging multi-agent communication standards such as A2A and ACP.
- Experience with reasoning models, open-source AI projects, MCP servers, or published technical articles.
Culture & Benefits
- Flexible working mode with options to work from home, an office, or remotely.
- Personalized benefits and company events.
- Mentorship and an individual development plan.
- English classes and professional certification preparation for AWS, ISTQB, Unity, Scrum, and other areas.
- Access to comprehensive online courses through Udemy, Educative, Pluralsight, and edX.
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