

Agentic AI Developer
β - 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.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 5, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Greater Boston
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π§ - 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.
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.