Synergyassure Inc
Agentic AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Agentic AI Engineer" in Basking Ridge, NJ, offering a hybrid work model. Contract length and pay rate are unspecified. Key skills include LangGraph, React, Python, and expertise in LLM orchestration and reinforcement learning.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Basking Ridge, NJ
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🧠 - Skills detailed
#Knowledge Graph #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Automation #Deployment #Langchain #React #Reinforcement Learning #Neo4J #Python
Role description
Position: Agentic AI Engineer
Location: Basking Ridge NJ(2 roles -1 lead / 1 developer ) - 3days Hybrid
Primary - LangGraph, React, LangChain, LlamaIndex, Python
Secondary - GCP, Google Spanner/Neo4j, CrewAI, AutoGen, OpenAI
JD:
The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities.
The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation.
Position: Agentic AI Engineer
Location: Basking Ridge NJ(2 roles -1 lead / 1 developer ) - 3days Hybrid
Primary - LangGraph, React, LangChain, LlamaIndex, Python
Secondary - GCP, Google Spanner/Neo4j, CrewAI, AutoGen, OpenAI
JD:
The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities.
The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation.
