What You'll Be Doing:

Automation & Process Implementation

• Design, build, and maintain workflow automations according to architectural specifications using tools such as n8n, Make, Zapier, and Power Automate.
• Develop and manage RPA solutions based on technical requirements.
• Integrate systems and APIs following defined interface documentation.
• Conduct testing and quality assurance for implemented automations.
• Perform error analysis, debugging, and continuous optimization of existing workflows.
• Maintain clear and structured technical documentation for all solutions.

Artificial Intelligence & Data Processing

• Implement LLM-based applications (GPT, Claude, open-source models) according to concept specifications.
• Build RAG systems and vector databases following architecture guidelines.
• Prepare, clean, and structure data for AI applications.
• Deploy and configure AI agents and chatbots.
• Implement prompt templates and AI-driven workflows effectively.

Internal Collaboration

• Work closely with consultants and architects to clarify technical details and ensure correct implementation.
• Provide regular reporting on implementation progress, technical challenges, and solutions.
• Ensure adherence to project timelines and quality standards.
• Provide proactive feedback when specifications contain ambiguities or potential technical obstacles.
• Support effort estimation and planning for new projects.

• Minimum of 3+ years of professional experience in automation, AI implementation, or related technical roles.
• Strong proficiency in Python; knowledge of JavaScript/TypeScript is an advantage.
• Hands-on experience with automation platforms such as Make.com and n8n; familiarity with other low-code/no-code platforms (e.g., Zapier, Power Automate) is a plus.
• Practical experience with AI/LLM technologies, including OpenAI API, Anthropic API, LangChain, and vector databases (Pinecone, Weaviate, Qdrant).
• Proficiency in data processing, including JSON, REST APIs, webhooks, and relational or NoSQL databases.
• Experience with version control systems, preferably Git, to ensure clean and maintainable code.
• Demonstrated ability to execute projects reliably, transforming concepts into functional solutions on schedule.
• Strong attention to detail, ensuring accuracy and adherence to specifications.
• High degree of self-reliance, capable of completing tasks independently.
• Structured and organized approach to managing multiple projects simultaneously.
• Strong willingness and aptitude for learning new tools and technologies.
• Effective team communication skills, including asynchronous collaboration with international teams.

• Experience in prompt engineering and LLM optimization.
• Knowledge of Docker and containerized deployment environments.
• Familiarity with agentic AI frameworks such as CrewAI, AutoGen, or LangGraph.
• Experience working with remote, distributed teams across multiple time zones.
• Experience with project management and collaboration tools, including ClickUp, Asana, or Notion.

Recruitment Process:

1. Initial Interview (HR/Recruiter) 
2. Test Assessment
3. Final Interview (Client)