

E-Solutions
AI/ML Role with Agentic AI Exposure
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is an AI/ML position focused on agentic AI exposure, located in Iselin, NJ (3 days hybrid). It requires 3–10 years of experience, advanced GitHub knowledge, and skills in Python, SQL, Azure, and various AI frameworks. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 22, 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
Iselin, NJ
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🧠 - Skills detailed
#Langchain #Airflow #Transformers #Databricks #Azure #AI (Artificial Intelligence) #Programming #Kubernetes #Reinforcement Learning #DevOps #SQL (Structured Query Language) #API (Application Programming Interface) #GitHub #NLP (Natural Language Processing) #Computer Science #PySpark #Docker #ML (Machine Learning) #Python #Data Science #Cloud #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Databases
Role description
Preferred Local candidate
Role : AI/ML Role with Agentic AI Exposure
Location : Iselin, NJ (3 days Hybrid)
🧠 AI/ML Role with Agentic AI Exposure – Key Elements
🔍 Core Responsibilities
• Design and implement agentic AI systems that autonomously plan and execute tasks to meet user-defined goals. Very focused on python code generation .
• Develop and deploy LLM-based agents using frameworks like LangChain, LangGraph, and custom runtimes. [dice.com]
• Integrate AI agents with external APIs and services, enabling orchestration across enterprise workflows. [careers.leidos.com]
• Build and maintain pipelines for training, testing, and deploying models in production environments (e.g., Azure ML).
🧰 Technical Skills Required
• Programming: Python, SQL, PySpark,
• Frameworks & Tools: LangChain, LangGraph,HuggingFace Transformers, OpenAI API, databricks
• Cloud Platforms: Azure,
• ML/AI Techniques: Reinforcement learning, multimodal models, vector databases (e.g., FAISS, Pinecone), NLP. [amazon.jobs]
• DevOps: CI/CD pipelines, Docker, Kubernetes, Airflow.
🧪 Agentic AI Exposure
• Agentic AI refers to autonomous or semi-autonomous software entities that perceive, decide, and act to achieve goals in digital or physical environments.
• Roles often involve building multi-agent systems, enabling emergent behaviors, and ensuring robustness and trustworthiness in agent actions. [careers.leidos.com]
• Use cases GeneratePython code from business rules and RAG, include automating workflows, generating reports,
🎓 Qualifications
• Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 3–10 years of experience in AI/ML, with at least 2 years in agentic AI or autonomous systems.
• Experience in deploying production-grade AI solutions and working with enterprise data systems.
• What they are trying to do is leverage GitHub and CoPilot and they need someone with Advanced Github and CoPilot knowledge
• Need someone that is ahead of them in that direction.
• Looking for a mentor
• Problem: Plugin for integration for python project. Code to accelerate. Need a structure the way the engineering is done.
Preferred Local candidate
Role : AI/ML Role with Agentic AI Exposure
Location : Iselin, NJ (3 days Hybrid)
🧠 AI/ML Role with Agentic AI Exposure – Key Elements
🔍 Core Responsibilities
• Design and implement agentic AI systems that autonomously plan and execute tasks to meet user-defined goals. Very focused on python code generation .
• Develop and deploy LLM-based agents using frameworks like LangChain, LangGraph, and custom runtimes. [dice.com]
• Integrate AI agents with external APIs and services, enabling orchestration across enterprise workflows. [careers.leidos.com]
• Build and maintain pipelines for training, testing, and deploying models in production environments (e.g., Azure ML).
🧰 Technical Skills Required
• Programming: Python, SQL, PySpark,
• Frameworks & Tools: LangChain, LangGraph,HuggingFace Transformers, OpenAI API, databricks
• Cloud Platforms: Azure,
• ML/AI Techniques: Reinforcement learning, multimodal models, vector databases (e.g., FAISS, Pinecone), NLP. [amazon.jobs]
• DevOps: CI/CD pipelines, Docker, Kubernetes, Airflow.
🧪 Agentic AI Exposure
• Agentic AI refers to autonomous or semi-autonomous software entities that perceive, decide, and act to achieve goals in digital or physical environments.
• Roles often involve building multi-agent systems, enabling emergent behaviors, and ensuring robustness and trustworthiness in agent actions. [careers.leidos.com]
• Use cases GeneratePython code from business rules and RAG, include automating workflows, generating reports,
🎓 Qualifications
• Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 3–10 years of experience in AI/ML, with at least 2 years in agentic AI or autonomous systems.
• Experience in deploying production-grade AI solutions and working with enterprise data systems.
• What they are trying to do is leverage GitHub and CoPilot and they need someone with Advanced Github and CoPilot knowledge
• Need someone that is ahead of them in that direction.
• Looking for a mentor
• Problem: Plugin for integration for python project. Code to accelerate. Need a structure the way the engineering is done.





