
Artificially Intelligent System Architect
1 week ago
We are seeking an experienced AI Engineer to join our team as an architect and developer of agentic AI systems. The ideal candidate should have a strong understanding of large language models, prompt engineering, and token context management.
The successful candidate will design and develop agentic AI systems capable of reasoning, planning, and tool usage. They will integrate with frameworks like LangChain, Auto-GPT, CrewAI, or custom orchestration layers. Additionally, they will implement memory, goal-setting, and long-term task tracking systems for agents.
The AI Engineer will also connect agents with APIs, databases, web interfaces, and external tools. They will design and run experiments to test performance, improve accuracy, and reduce hallucinations. Furthermore, they will collaborate with product/design teams to shape user interaction with AI agents.
The requirements for this role include:
- A strong understanding of LLMs (GPT-4, Claude, etc.), prompt engineering, and token context management.
- 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).
- Familiarity with retrieval-augmented generation (RAG), tool calling, and multi-agent coordination.
- Creative problem-solver with a mindset for experimentation and iteration.
- Experience deploying models via APIs or embedding AI into real-world apps.
Nice to Have:
- 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.
This is a freelance opportunity that offers flexibility and autonomy. The ideal candidate should be able to work independently and manage their time effectively. The position requires a minimum of 4 years of experience in AI engineering and a strong portfolio of projects.
Responsibilities:
- Design and develop agentic AI systems.
- 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.
- Design and run experiments to test performance, improve accuracy, and reduce hallucinations.
- Collaborate with product/design teams to shape user interaction with AI agents.
Requirements:
- Strong understanding of LLMs (GPT-4, Claude, etc.), prompt engineering, and token context management.
- 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).
- Familiarity with retrieval-augmented generation (RAG), tool calling, and multi-agent coordination.
- Creative problem-solver with a mindset for experimentation and iteration.
- Experience deploying models via APIs or embedding AI into real-world apps.
Nice to Have:
- 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:
- 100% remote work from anywhere in the world.
- Flexible working hours and schedule.
- Competitive compensation based on experience.
Others:
- Opportunity to work on cutting-edge AI projects.
- Collaboration with experienced professionals in the field.
- Professional growth and development opportunities.
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