AI Automation Engineer having AI Agents and LLM experience

Design, develop, and deploy sophisticated AI agents capable of autonomous task execution and complex problem-solving. Develop and implement strategies for effective prompt engineering to elicit optimal performance from LLMs in various applications. Monitor and optimize the performance of deployed AI agents and LLM integrations, addressing any emergent issues or performance bottlenecks.

Desired Candidate Profile

Strong hands-on use of ChatGPT/Codex, Claude/Claude Code, Gemini, Grok or similar. Knowledge of AI agents such as OpenClaw, Hermes or comparable agent frameworks. n8n / Make / API / webhook automation knowledge. Basic understanding of Python/JavaScript, GitHub and Linux is preferred. Excellent research and problem-solving ability. Energetic, proactive and keen to continuously learn new AI tools. PROOF OF WORK IS MANDATORY Every applicant must submit 2–3 AI/automation projects they personally built, including: Working demo, GitHub repository, live URL or screen-recorded demonstration. Clear explanation of what they personally built. AI/agent/automation tools used. One technical problem they faced and how they solved it. Roles & responsibilities Design, develop, and deploy sophisticated AI agents capable of autonomous task execution and complex problem-solving. Develop and implement strategies for effective prompt engineering to elicit optimal performance from LLMs in various applications. Monitor and optimize the performance of deployed AI agents and LLM integrations, addressing any emergent issues or performance bottlenecks.

Desired Candidate Profile

A portfolio showcasing personal AI projects or contributions to open-source AI initiatives. Proven experience (3+ years) in developing and deploying AI agents and/or LLM-based solutions. Hands-on experience with prompt engineering techniques and LLM API integrations (e.g., OpenAI, Hugging Face). Employment Type Full-time

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