Agile Tech Labs
AI Agent Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Agent Developer, offering a contract length of "unknown", with a pay rate of "unknown". Key skills include Python, LLM APIs, LangChain, FastAPI, and cloud platforms. Experience in AI security and responsible AI practices is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Flask #AI (Artificial Intelligence) #Python #Langchain #FastAPI #Security #Cloud #Databases #Programming
Role description
Position: AI Agent Developer
Responsibilities:
Build intelligent AI agents and autonomous workflows.
Develop RAG pipelines and integrate vector databases.
Connect AI systems with external tools and APIs.
Create conversational AI applications and chatbots.
Optimize prompts, agent reasoning, and tool usage.
Deploy production-grade AI solutions and monitor performance.
Qualifications:
Strong Python programming skills.
Experience with LLM APIs and prompt engineering.
Knowledge of LangChain, LangGraph, or similar frameworks.
Experience building APIs using FastAPI or Flask.
Familiarity with cloud platforms and vector databases.
Understanding of AI security and responsible AI practices.
Position: AI Agent Developer
Responsibilities:
Build intelligent AI agents and autonomous workflows.
Develop RAG pipelines and integrate vector databases.
Connect AI systems with external tools and APIs.
Create conversational AI applications and chatbots.
Optimize prompts, agent reasoning, and tool usage.
Deploy production-grade AI solutions and monitor performance.
Qualifications:
Strong Python programming skills.
Experience with LLM APIs and prompt engineering.
Knowledge of LangChain, LangGraph, or similar frameworks.
Experience building APIs using FastAPI or Flask.
Familiarity with cloud platforms and vector databases.
Understanding of AI security and responsible AI practices.
