Elite Technical is seeking a Agentic AI Engineer who 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.

They should be a self-starter while also working well within the team, collaborating and sharing discoveries and seeking feedback.
They should expect they may conduct research, develop prototypes, evaluate and document results.

This position is a hybrid opportunity; onsite meetings will depend on project tasks for that given week. Some weeks will be all remote, some weeks will require multiple days in the Reston VA office for project meetings/tasks. We are seeking candidates who can be flexible for both remote and onsite work for this long term contract assignment.

Required Skills

- 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)
- The AI models are being built ontop of the current environment/tech stack. Knowledge / Hands-on experience with developing REST services with Java and Spring Boot, along with Angular and Web Services is required.
- 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 the administration of continuous integration and continuous deployment ( CI / CD ) pipelines using Kubernetes, Docker, or Jenkins