3 days ago
Remote, BulgariaSenior
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 AI applications.
- Design Azure infrastructure and connect AI solutions with APIs, databases, enterprise platforms, and business systems.
- Develop reusable agent skills, architecture patterns, engineering standards, automation frameworks, and AI-assisted development workflows.
- Translate business challenges into technical solutions, validate assumptions, and iterate prototypes based on feedback.
- Own technical decisions and delivery outcomes from discovery through implementation and deployment.
- Research emerging AI technologies, evaluate tools, and convert successful experiments into reusable solutions.
- Mentor engineers, document reusable solutions, and coordinate across technical and business teams.
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.
- Practical experience building LLM-powered applications, AI agents, tool calling, retrieval-augmented generation, 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.
- Production development experience in at least one of Python, C#, or TypeScript.
- 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, Microsoft Graph API, and enterprise platforms including SharePoint, Salesforce, Jira, Confluence, and Microsoft Teams.
- Familiarity with Semantic Kernel, LangGraph, AutoGen, or similar agent orchestration frameworks.
- Understanding of LLM evaluation, prompt optimization, tracing, monitoring, cost management, enterprise security, RBAC, managed identities, secrets management, and secure AI solution design.
- Experience working in regulated industries such as financial services and with security, compliance, and governance constraints.
- Experience mentoring engineers, creating reusable standards, exploring emerging AI technologies, and driving technical initiatives independently.
- Strong English communication skills and the ability to work with technical and non-technical stakeholders in ambiguous, fast-paced environments.
Benefits
- Regular salary reviews based on performance.
- Corporate webinars, offline parties, and meetups.
- Internal Mobility Program.
- Tailored education paths, including Udemy access and certifications.
- 25 paid days off: 20 business vacation days plus 5 undocumented sick-leave days per calendar year.
- Additional health insurance.
- Company-covered Multisport card with family-member discounts.
- Full-time role based in Bulgaria.
Tech Stack
Categories
Solutions 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.