15 days ago
Remote, CzechiaSenior
Responsibilities
- Design end-to-end AI-powered solutions, including architecture, technology choices, integrations, security, and deployment approaches.
- Build prototypes, AI agents, automations, and production-ready applications.
- Design and optimize Azure infrastructure for AI applications with attention to scalability, security, and cost efficiency.
- Develop reusable AI agent skills, engineering standards, architecture patterns, security guardrails, and automation frameworks.
- Connect AI solutions with enterprise platforms, APIs, databases, and business systems.
- Work with business stakeholders to translate challenges and requirements into technical solutions.
- Own technical decisions and delivery from discovery through implementation and deployment.
- Research emerging AI technologies, evaluate tools, and turn successful experiments into reusable solutions.
- Mentor engineers and help teams adopt AI-assisted development practices.
- Troubleshoot blockers and coordinate across teams to ensure delivery.
Requirements
- Strong experience designing end-to-end enterprise solutions involving integrations, APIs, authentication, data flows, and cloud infrastructure.
- Hands-on experience with Azure Functions, App Services, Storage, Key Vault, Entra ID, networking, and identity management.
- Experience building LLM-powered applications, AI agents, tool-calling systems, RAG solutions, and multi-step workflows.
- Experience with AI-assisted development tools such as Cursor, GitHub Copilot, or Claude Code, including agent instructions, skills, and automated workflows.
- Strong development experience in Python, C#, or TypeScript and experience building production-ready applications.
- Experience with REST APIs, MCP, webhooks, workflow automation, Terraform, Bicep, ARM templates, GitLab CI/CD, GitHub Actions, Docker, and automated deployment pipelines.
- Experience with Azure AI Foundry, Azure AI Search, Azure OpenAI, Microsoft Copilot Studio, and Microsoft Graph API.
- Familiarity with Semantic Kernel, LangGraph, AutoGen, or similar agent orchestration frameworks.
- Experience integrating SharePoint, Salesforce, Jira, Confluence, Microsoft Teams, and other enterprise platforms.
- Knowledge of LLM evaluation, prompt optimization, tracing, monitoring, cost management, enterprise security, RBAC, managed identities, secrets management, and secure AI design.
- Experience in regulated industries such as financial services, including security, compliance, and governance constraints.
- Experience mentoring engineers, creating reusable standards, exploring emerging AI technologies, and leading technical initiatives independently.
- Strong English communication, stakeholder collaboration, initiative, accountability, adaptability to ambiguity, and a pragmatic, scalable engineering mindset.
Benefits
- Flexible working hours and hybrid or remote working options across offices in Prague, Hradec Králové, and Zlín.
- Home office option.
- Five weeks of holiday and five sick days.
- Multisport Card and meal allowance.
- Internal workshops, seminars, paid certifications, and technical and soft-skills training.
- Possibility to participate in international conferences.
- Fresh fruit, coffee, and weekly company breakfast in the office.
- Loyalty bonus after 5, 10, 15, and more years with the company.
- Referral bonus programme and corporate team-building and wellness events.
Tech Stack
Categories
BackendSolutions Engineering
About Ciklum
Ciklum is an IT services firm that builds custom digital products and provides nearshore engineering teams, QA, DevOps, data analytics, and UX for enterprises and high-growth startups. It operates a services model spanning product engineering, e-commerce solutions, and managed delivery centers. Founded in 2002 and headquartered in London, the privately held company serves global clients including Just Eat and Zurich Insurance.