Agile AI Solutions Architect

3 days ago

Erode, Tamil Nadu, India beBeeAgent Full time ₹ 20,00,000 - ₹ 25,00,000
Freelance Agentic AI Engineer

We are seeking a highly skilled Freelance Agentic AI Engineer to join our team. The ideal candidate should have a minimum of 4+ years of experience in agentic AI systems and strong understanding of LLMs, prompt engineering, and token context management.

The successful candidate will be responsible for architecting and developing agentic AI systems capable of reasoning, planning, and tool usage. This includes integrating with frameworks like LangChain, Auto-GPT, CrewAI, or custom orchestration layers, implementing memory, goal-setting, and long-term task tracking systems for agents, connecting agents with APIs, databases, web interfaces, and external tools, designing and running experiments to test performance, improve accuracy, and reduce hallucinations, and collaborating with product/design teams to shape user interaction with AI agents.

  • Key Responsibilities:
  • Architect 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.
  • 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.

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