Agentic AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Agentic AI Engineer with a hybrid schedule in Reston, VA. Contract length and pay rate are unspecified. Requires 3+ years in AI/ML systems, Python, LLMs, NLP, and experience with cloud services and CI/CD pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 23, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Hybrid
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Reston, VA
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Science #Langchain #Automation #NLP (Natural Language Processing) #Reinforcement Learning #REST services #Debugging #Kubernetes #Web Services #Cloud #PyTorch #Automated Testing #Jenkins #TensorFlow #Continuous Deployment #AWS (Amazon Web Services) #Spring Boot #Python #Monitoring #Databases #Deployment #REST (Representational State Transfer) #Deep Learning #DevSecOps #ML (Machine Learning) #Docker #NumPy #Java #API (Application Programming Interface) #Pandas
Role description
Title: Agentic AI Engineer
Location: Hybrid Schedule at Reston, VA
Overview
The Agentic AI Engineer will collaborate with Data Scientists to build and deploy AI agents to both automate and optimize labor-intensive workflows.
Responsibilities
• The Agentic AI Engineer will include writing software code to support AI agent communication, connecting models and agents to external/internal services via API calls,
• Support testing and debugging tasks, deployment into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems.
• Utilize a combination of open source models, agentic tools, and large proprietary commercial models.
• Securing agentic workflows and to evaluating the results for accuracy, performance, and impact.
• Expected to ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.
• Be a self-starter while also working well within the team, collaborating and sharing discoveries and seeking feedback.
• Expect they may conduct research, develop prototypes, evaluate and document results.
Required Skills & Experience
• 3+ years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks
• 3+ years of experience with Python and Python tools, including Pandas or NumPy
• Experience with Large Language Models ( LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL)
• Good understanding and experience working with Natural Language Processing (NLP)
• Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, LangGraph, or LangChain
• Experience in resolving workflow problems through automation optimization
• Experience in connecting Agents to APIs, Cloud platforms, or databases
• Ability to work with automated testing tools to perform testing and maintenance
• Experience with Software Development Lifecycle (SDLC), such as DevSecOps
• Experience with Cloud Service Providers such as Amazon Web Services (AWS)
• Experience with developing REST services with Java and Spring Boot
• Experience with the administration of continuous integration and continuous deployment ( CI / CD ) pipelines using Kubernetes, Docker, or Jenkins
Title: Agentic AI Engineer
Location: Hybrid Schedule at Reston, VA
Overview
The Agentic AI Engineer will collaborate with Data Scientists to build and deploy AI agents to both automate and optimize labor-intensive workflows.
Responsibilities
• The Agentic AI Engineer will include writing software code to support AI agent communication, connecting models and agents to external/internal services via API calls,
• Support testing and debugging tasks, deployment into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems.
• Utilize a combination of open source models, agentic tools, and large proprietary commercial models.
• Securing agentic workflows and to evaluating the results for accuracy, performance, and impact.
• Expected to ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.
• Be a self-starter while also working well within the team, collaborating and sharing discoveries and seeking feedback.
• Expect they may conduct research, develop prototypes, evaluate and document results.
Required Skills & Experience
• 3+ years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks
• 3+ years of experience with Python and Python tools, including Pandas or NumPy
• Experience with Large Language Models ( LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL)
• Good understanding and experience working with Natural Language Processing (NLP)
• Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, LangGraph, or LangChain
• Experience in resolving workflow problems through automation optimization
• Experience in connecting Agents to APIs, Cloud platforms, or databases
• Ability to work with automated testing tools to perform testing and maintenance
• Experience with Software Development Lifecycle (SDLC), such as DevSecOps
• Experience with Cloud Service Providers such as Amazon Web Services (AWS)
• Experience with developing REST services with Java and Spring Boot
• Experience with the administration of continuous integration and continuous deployment ( CI / CD ) pipelines using Kubernetes, Docker, or Jenkins
