AI Engineer (Only W2)

Overview

Hybrid
$70+
Contract - W2
Contract - 6 Month(s)

Skills

Large Language Models (LLMs)
Natural Language Processing
Machine Learning (ML)
PyTorch
Prototyping
Python
LangChain
Kubernetes
GitHub

Job Details

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Terms of Employment:

W2 Contract, 6 Months
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

Preferred Skills & Experience:

Experience working with GitHub and other collaborative development platforms

 

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