Senior ML Engineer | Full Time

Crossing Hurdles is seeking a Senior ML Engineer to design and optimize AI/ML systems for production-grade applications. The role involves developing multi-agent systems, deploying AI solutions on secure cloud environments, and collaborating with various teams to ensure the delivery of scalable AI systems.

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