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.
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.
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.

Requirements

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.
Nice to Have: 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaScriptTypeScriptRPA solutionsAI implementationdata processingversion controlprompt engineeringLLM optimizationerror analysis

Soft Skills

attention to detailself-relianceproject managementeffective communicationorganizational skillsproblem-solvingcollaborationadaptabilitytime managementproactive feedback