Agentic AI Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Agentic AI Developer" with a contract length of "unknown" and a pay rate of "unknown." Candidates should have 8+ years of experience in software engineering, proficiency in Python and JavaScript, and familiarity with enterprise IT ecosystems.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
June 5, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Greater Boston
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🧠 - Skills detailed
#AI (Artificial Intelligence) #API (Application Programming Interface) #Automation #POSTMAN #Langchain #Security #Debugging #REST (Representational State Transfer) #Python #React #Scripting #ML (Machine Learning) #Scala #REST API #Workday #JavaScript #Monitoring
Role description
We're seeking an experienced Agentic AI Developer to support enterprise automation and conversational AI initiatives within a cutting-edge AI Operations team. This role is highly technical and hands-on, focused on building AI agents capable of executing multi-step tasks across enterprise platforms. Required Skills: β€’ 8+ years of hands-on software engineering or automation development experience. β€’ Demonstrated experience building or integrating AI agents or workflows using platforms like ServiceNow, Google Agent Space, or similar. β€’ Proficiency in scripting or backend languages (e.g., Python, JavaScript, Node.js). β€’ Deep understanding of REST APIs and secure API orchestration across systems. β€’ Familiarity with enterprise IT ecosystems, including Workday, ServiceNow, O365, and endpoint monitoring tools. Nice-to-Haves: β€’ Experience working with agentic architectures or autonomous task agents (LangChain, ReAct, AutoGPT, etc.). β€’ Knowledge of enterprise security standards and secure API design. β€’ Familiarity with MCP platforms and emerging standards in Agent-to-Agent communication. β€’ AI/ML development experience or experience with AI Ops tools. Key Responsibilities: β€’ Develop, test, and deploy autonomous AI agents capable of interacting with enterprise systems via APIs. β€’ Build multi-step workflows that agents can execute across systems (e.g., ServiceNow, Workday, Teams). β€’ Design and integrate with Multi-Channel Platforms (MCP) for seamless communication across Slack, Teams, and Email. β€’ Explore and develop early use cases of A2A (Agent-to-Agent) communication. β€’ Collaborate with infrastructure, security, and platform teams to ensure safe and scalable AI agent operations. β€’ Leverage tools like Postman, Tanium, Aternity, and ServiceNow for integration and debugging.