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# Mid AI/ML Engineer

- **Company:** Ignite, LLC
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $143,763.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Machine Learning, Performance Tuning, Scripting, Large Language Models, Prompt Engineering, Kubernetes, Machine Learning Operations, Databricks
- **Published:** July 23, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87815294/1

## About the Role

* Deep experience building LLM-based systems and RAGarchitectures.

 * Strong proficiency inMLOpstools (e.g.MLFlow, Kubeflow, Airflow).

 * Advanced scripting (e.g.Python, JavaScript,Rust).

 * Expertise deploying models on AWS,Azure, or GCP.

 * Ability to work independently with broad responsibilities.

Desired Skills:

 * Experience with scientific datasets or multi-domain research workflows.

 * Familiarity withAWS Bedrock, Databricks, vector databasesor comparable technologies.

 * Strong foundation in prompt engineering or AI agents.

 * Experience working with federal clients.

Clearance Requirements:

 * U.S. Citizen - Secret or TS/SCI eligible

Education & Experience:

 * Bachelor's degreein CS, engineering, mathematics, or related field.

 * 3+yearsAI/ML professional experience.

 * Intermediatecertifications(CCSP, CFR, FITSP-M, GSEC,Security+, SSCP) oradvancedcertifications (SecurityX/CASP+, GCSA, GSLC, CISSP).

## Description

* Independently develop and optimize ML models, pipelines, and platform components.

 * Build RAGarchitecturesand high-performing inference systems.

 * Create scalable infrastructure to support training, experimentation, and deployment.

 * Lead integration of AI/ML models into production systems.

 * Conduct advanced troubleshooting and performance tuning.

 * Collaborate with stakeholders to accelerate mission-driveninsights.


## Related Videos

- [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow)
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- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)

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