

Charter Global
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer in Reston, VA, hybrid for 6-12 months, with a pay rate of "unknown." Requires 8+ years in software development, 3+ years in AI/ML systems, and strong Python/Java skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 14, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Reston, VA
-
🧠 - Skills detailed
#Monitoring #Debugging #Java #NumPy #PyTorch #ML (Machine Learning) #Data Science #Deep Learning #API (Application Programming Interface) #Langchain #Spring Boot #Deployment #Kubernetes #Pandas #NLP (Natural Language Processing) #AI (Artificial Intelligence) #Jenkins #Docker #GitHub #Python #Automation #REST (Representational State Transfer) #TensorFlow #Reinforcement Learning #REST services #Continuous Deployment
Role description
Job Title: Agentic AI Engineer (Must have Python and Java experience)
Location: Reston, VA (Hybrid onsite)
Duration: 6-12 Months+
Hybrid onsite (1-2 times in a month)
F2F interview is required
NEED A STRONG AGENTIC AI EXPERIENCE
The Agentic AI Engineer will collaborate with data Scientists to build and deploy AI agents to both automate and optimize labor-intensive workflows.
The tasks of 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.
They will utilize a combination of open source models, agentic tools, and large proprietary commercial models.
They will be securing agentic workflows and to evaluating the results for accuracy, performance, and impact.
They will be expected to ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.
Required Experience:
8 years Software design and development, software test and evaluation, software requirements management
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 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
Preferred experience working with GitHub and other collaborative development platforms
Job Title: Agentic AI Engineer (Must have Python and Java experience)
Location: Reston, VA (Hybrid onsite)
Duration: 6-12 Months+
Hybrid onsite (1-2 times in a month)
F2F interview is required
NEED A STRONG AGENTIC AI EXPERIENCE
The Agentic AI Engineer will collaborate with data Scientists to build and deploy AI agents to both automate and optimize labor-intensive workflows.
The tasks of 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.
They will utilize a combination of open source models, agentic tools, and large proprietary commercial models.
They will be securing agentic workflows and to evaluating the results for accuracy, performance, and impact.
They will be expected to ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.
Required Experience:
8 years Software design and development, software test and evaluation, software requirements management
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 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
Preferred experience working with GitHub and other collaborative development platforms