AI​/ML Engineer

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can:
Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR:
Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph.

• Develop, implement, and maintain AI/ML-enabled applications with a focus on agent-based workflows, LLM integration, and retrieval-augmented generation capabilities.
• Design and support agent-based application architectures, including orchestration logic, tool use, memory management, and integration with external systems.
• Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, prompt assembly, and response optimization.
• Integrate LLMs into applications using available APIs, AI frameworks, and emerging protocols such as MCP.
• Develop and maintain REST APIs, particularly Python-based services, to support data retrieval, system integration, agent workflows, and application functionality.
• Support full-stack development of production-ready AI applications, including backend services, user-facing components, and enterprise deployment considerations.
• Process, transform, and organize structured and unstructured data to support AI/ML workflows, model interaction, and application performance.
• Design or refine Postgres schemas and data models to improve data organization, query performance, and application scalability.
• Optimize AI-enabled applications for performance, reliability, usability, and maintainability in enterprise environments.

• Bachelor’s degree in computer science or related area of study.
• Senior Labor Category:
  Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Master’s degree; or 6 years of experience with a Doctorate.
• Active/current TS/SCI with required polygraph.
• Willingness to work onsite full time.
• US citizenship required.
• Proficiency in Python and common data/AI libraries.
• Experience developing AI/ML applications, including LLM-integrated applications, RAG workflows, or similar retrieval-based capabilities.
• Experience with agent-based programming concepts, AI frameworks, and tool-based LLM application development.
• Strong understanding of AI/ML foundational concepts, including transformers, algorithms, LLM behavior, data processing, and model integration patterns.
• Experience designing, developing, or integrating REST APIs to retrieve, process, or exchange data across systems.
• Familiarity with production-ready application development practices, including reliability, maintainability, testing, and deployment considerations.

• Experience with MCP or similar protocols for connecting AI agents to tools, data sources, and enterprise systems.
• Experience developing full-stack agent-based applications, including frontend interfaces, backend services, orchestration layers, and enterprise deployment patterns.
• Experience with Python REST API frameworks such as FastAPI or Flask.
• Experience implementing or optimizing LLM memory management approaches, including conversational memory, session state, context management, and retrieval-based memory.
• Experience with agent-based application optimization techniques, including prompt/tool orchestration, latency reduction, context window management, evaluation, observability, and cost/performance tuning.
• Experience working with vector databases, embedding models, semantic search, and retrieval configuration.
• Experience with Docker containers and…