AI/ML Engineer/Architect

Position: AI/ML Engineer

Location: California, Washington, Texas/Ohio/New Jersey/New York, Florida, PA, Georgia

Terms: Long Term Contract/Fulltime

* 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.

* 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.

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)

* 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 experience working with GitHub and other collaborative development platforms.