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Senior ML Engineer
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-03-13
Listing for:
Crossing Hurdles
Full Time
position Listed on 2026-03-13
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
- Design, build, and optimize AI/ML systems leveraging LLMs, RAG architectures, and prompt engineering for production-grade applications.
- Develop and orchestrate multi-agent systems using frameworks such as Lang Graph and Lang Chain.
- Deploy AI solutions on secure cloud environments including AWS Gov Cloud, Google Gov Cloud, Azure IL5+, Vertex AI, and AWS Bedrock.
- Build scalable data pipelines, manage ETL processes, and maintain metadata catalogs and ontologies for high-quality AI training data.
- Develop REST APIs and SDK integrations to enable seamless interaction with data and AI models.
- Collaborate with product, security, and engineering teams to deliver secure, scalable AI systems following Dev Ops and CI/CD best practices.
- Document technical architecture, workflows, and decisions while communicating complex concepts clearly to both technical and non-technical stakeholders.
- Strong proficiency in Python for AI/ML development and backend integrations.
- Hands-on experience with LLMs, RAG pipelines, and prompt engineering in production environments.
- Experience with multi-agent orchestration and frameworks such as Lang Graph or Lang Chain.
- Deep familiarity with cloud AI platforms including AWS, Azure, Google Cloud, Vertex AI, or AWS Bedrock.
- Experience building and managing data pipelines, ETL workflows, metadata catalogs, and ontologies.
- Strong knowledge of secure coding practices and modern Dev Ops workflows (CI/CD).
- Excellent written and verbal communication skills.
Position Requirements
10+ Years
work experience
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