Revolution Technologies

Senior Developer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Developer with a hybrid schedule in Columbia, SC, offering a contract length of unspecified duration. Pay rate is not disclosed. Requires 8 years of experience in application development, expertise in Python, AI/ML, and cloud environments.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
Unknown
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๐Ÿ—“๏ธ - Date
April 15, 2026
๐Ÿ•’ - Duration
Unknown
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๐Ÿ๏ธ - Location
Hybrid
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
Columbia, South Carolina Metropolitan Area
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๐Ÿง  - Skills detailed
#Computer Science #Kubernetes #Langchain #Libraries #AI (Artificial Intelligence) #ML (Machine Learning) #AWS (Amazon Web Services) #JavaScript #Deployment #GitHub #Databases #TypeScript #Docker #Cloud #Python #DevOps #API (Application Programming Interface)
Role description
This role does not support H1b, C2C or OPT at this time. We are seeking a highly experienced Senior Python/AI Engineer to join our team. Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience Required Work Experience: 8 years-of application development, systems testing or other job related experience. This role is hybrid 3 days onsite in Columbia, SC Required Technologies: 3โ€“6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields. Python & AI/ML Libraries: Deep hands-on experience in Python for AI/ML development. ยท Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment. ยท Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes. ยท Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use). Tech Stack- 1. Python 2 JavaScript/TypeScript 1. AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.) 1. AI Models (e.g. Claude, OpenAI, etc.) 1. AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.) 1. Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.) 1. Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS) 1. API Design