1 день назад
Artificial Intelligence (Al)/Machine Learning Engineer 2
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Artificial Intelligence (Al)/Machine Learning Engineer 2 (LLM and agentic workflows): Designing and implementing AI-enabled capabilities for time-sensitive intelligence analysis workflows with an accent on workflow mapping, multi-step reasoning, tool integration, and classified-environment security. Focus on building production-ready integrations with APIs and enterprise data stores, orchestrating LLM systems, and supporting reliable mission operations.
Location: On-site in Annapolis Junction, Maryland, United States
Salary: $0–$0 per hour
Company
delivers technology solutions for federal government and national security customers.
What you will do
- Work with intelligence analysts and mission users to capture multi-step workflows and document operational decision points.
- Translate analytical workflows into AI-enabled capabilities, including LLM-powered workflows, agent-based automation, and hybrid solutions.
- Integrate AI systems with APIs, enterprise data stores, mission platforms, and existing operational systems.
- Collaborate with operators, analysts, developers, and mission leadership to ensure reliable production integration.
- Develop solutions that improve data accessibility and support rapid decision-making in high-tempo environments.
Requirements
- United States citizenship and an appropriate active security clearance are required, such as TS/SCI with an agency-appropriate polygraph.
- Bachelor’s degree and 14 years of experience, including at least 3 years in AI/ML engineering, data science, or software engineering.
- Experience working in cyber, intelligence, or national security environments.
- Experience mapping user workflows into structured process maps, automation requirements, or executable logic.
- Experience designing or implementing LLM-based or agentic workflows with multi-step reasoning, tool integrations, and orchestration.
- Programming experience with Python and experience integrating AI systems with APIs, enterprise data stores, or mission platforms.
Nice to have
- Experience engineering AI capabilities in on-premises or multi-classification environments.
- Experience with AWS or Azure in restricted or classified environments.
- Experience with LangChain, LangGraph, PydanticAI, CrewAI, PyTorch, TensorFlow, vLLM, or llama.cpp.
- Experience with cyber or intelligence workflows and mission-oriented analytical processes.
- Master’s degree in AI, ML, data science, cybersecurity, or engineering.
Culture & Benefits
- SEP IRA contribution of 20% of gross compensation, fully vested from day one.
- Up to 200 hours of annual PTO with flexible yearly allocation.
- Medical, vision, dental, life, disability, HSA, and supplemental insurance options.
- Employee referral bonus eligibility of up to $10,000.
- Opportunities to move among -supported contracts and work locations.
- Team-building events and two branded clothing orders annually.
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