Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 month(s)
No Travel Required
Skills
Python
Agentic AI
Job Details
Job Summary:
Skilled Agentic AI & Python Developer to design, build, and deploy next-generation AI applications leveraging agentic AI frameworks and Python-based development. The ideal candidate will have a strong background in building autonomous agents, LLM integrations, workflow automation, and scalable AI-driven systems.
Key Responsibilities:
Design and develop agentic AI systems that use LLMs, tools, and APIs to autonomously perform tasks.
Implement multi-agent workflows, planning, and reasoning strategies for complex problem-solving.
Integrate AI agents with external systems (databases, APIs, SaaS platforms, cloud services).
Build scalable backend systems and services using Python.
Develop and maintain prompt engineering, retrieval-augmented generation (RAG), and memory management for AI agents.
Optimize performance, reliability, and cost-effectiveness of AI-driven solutions.
Collaborate with cross-functional teams to translate business needs into AI-powered applications.
Stay current with emerging AI/LLM frameworks (LangChain, AutoGen, CrewAI, OpenAI Functions, etc.) and apply them effectively.
Required Skills:
Proficient with Python for backend development
Ability to work with LLM and Agentic AI tools, like LangChain, Langgraph
Strong proficiency in Python and experience with AI/ML libraries and frameworks.
Solid understanding of Google Cloud platforms.
Knowledge of React.js/TypeScript for front-end development.
Basic understanding of SQL.
Skilled Agentic AI & Python Developer to design, build, and deploy next-generation AI applications leveraging agentic AI frameworks and Python-based development. The ideal candidate will have a strong background in building autonomous agents, LLM integrations, workflow automation, and scalable AI-driven systems.
Key Responsibilities:
Design and develop agentic AI systems that use LLMs, tools, and APIs to autonomously perform tasks.
Implement multi-agent workflows, planning, and reasoning strategies for complex problem-solving.
Integrate AI agents with external systems (databases, APIs, SaaS platforms, cloud services).
Build scalable backend systems and services using Python.
Develop and maintain prompt engineering, retrieval-augmented generation (RAG), and memory management for AI agents.
Optimize performance, reliability, and cost-effectiveness of AI-driven solutions.
Collaborate with cross-functional teams to translate business needs into AI-powered applications.
Stay current with emerging AI/LLM frameworks (LangChain, AutoGen, CrewAI, OpenAI Functions, etc.) and apply them effectively.
Required Skills:
Proficient with Python for backend development
Ability to work with LLM and Agentic AI tools, like LangChain, Langgraph
Strong proficiency in Python and experience with AI/ML libraries and frameworks.
Solid understanding of Google Cloud platforms.
Knowledge of React.js/TypeScript for front-end development.
Basic understanding of SQL.
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