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Artificial Intelligence Architect
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As a Freelance Agentic AI Engineer, you will be part of multiple openings, collaborating with the top 0.1% of developers in the industry.
We are offering 35 hours of work per week exclusively from home, paid out every month.
The ideal candidate will have a strong understanding of LLMs (GPT-4, Claude), prompt engineering, and token context management.
- Design and develop agentic AI systems capable of reasoning, planning, and tool usage.
- Integrate with frameworks like LangChain, Auto-GPT, CrewAI, or custom orchestration layers.
- Implement memory, goal-setting, and long-term task tracking systems for agents.
- Connect agents with APIs, databases, web interfaces, and external tools.
- Run experiments to test performance, improve accuracy, and reduce hallucinations.
Key Responsibilities:
Requirements:- Familiarity with retrieval-augmented generation (RAG), tool calling, and multi-agent coordination.
- Hands-on experience with agentic AI frameworks like LangChain, Auto-GPT, BabyAGI, CrewAI, etc.
- Proficiency in Python and experience with vector databases (like Pinecone, Weaviate, FAISS).
- Creative problem-solver with a mindset for experimentation and iteration.
- Experience deploying models via APIs or embedding AI into real-world apps.
Additional Requirements:
- Experience working with voice or multimodal agents (text + image + audio).
- Familiarity with knowledge graphs, semantic search, or planning algorithms.
- Exposure to Reinforcement Learning or feedback-based agent tuning.
Benefits include flexible work arrangements, professional development opportunities, and a collaborative work environment.
