Position: AI/ML Engineer

Type: Full-time

Compensation: $250K–$600K/year

Location: Washington, DC

Role Responsibilities

• 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 LangGraph and LangChain.
• Deploy AI solutions on secure cloud environments including AWS GovCloud, Google GovCloud, 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 DevOps and CI/CD best practices.
• Document technical architecture, workflows, and decisions while communicating complex concepts clearly to both technical and non-technical stakeholders.

Requirements

• 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 LangGraph or LangChain.
• 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 DevOps workflows (CI/CD).
• Excellent written and verbal communication skills.

Application Process (Takes 20 Min)

• Upload resume
• Interview (15 min)
• Submit form