Hermeus
Defense Aviation
SeniorAIEngineer,InternalAIPlatforms
“Senior AI Engineer, Internal AI Platforms at Hermeus. Skills: AI, LLM, RAG, Python. Design, build, improve Cortex. Develop integrations with enterprise platforms”
What You'll Achieve.
Deliver high-speed systems; Provide high-speed capabilities; Maintain propulsion systems performing at their best; Contribute directly to hypersonic capability; Support long-term internal AI adoption
Industry & Context.
Solve hard problems; Operate in ambiguity
U. S. EXPORT CONTROL COMPLIANCE STATUS, Must be a “U. S. person” or eligible for deemed export licensing
What They're Looking For.
Must Have
5+ years of professional software engineering experience, 2+ years building AI, ML, automation, or LLM-enabled applications in production environments, programming experience in Python, TypeScript, or both, Hands-on experience building production AI systems using LLMs, RAG pipelines, vector databases, embeddings, and orchestration frameworks, Experience deploying scalable services in cloud or private infrastructure environments, Experience building AI systems that integrate with enterprise platforms, APIs, and governed data sources, understanding of security, permissions models, identity management, and enterprise data governance, Practical understanding of LLM limitations including hallucinations, prompt injection, data leakage, and evaluation challenges, Ability to operate in ambiguity, rapidly prototype solutions, and harden successful systems into production-ready platforms
Nice to Have
Aerospace, defense, national security, financial services, healthcare, or other regulated industry experience, Experience with AWS-native AI and infrastructure services including Bedrock, SageMaker, EKS, OpenSearch, or GovCloud, Familiarity with commercial and open-source model providers such as Anthropic Claude, OpenAI, Llama, Mistral, or similar, Experience with AI orchestration and agent frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar tooling, Experience with vector databases and search technologies such as OpenSearch, Pinecone, Weaviate, pgvector, or FAISS, Experience building AI evaluation pipelines including regression testing, retrieval scoring, and red-team validation, Familiarity with secure software development, DevSecOps, CI/CD, infrastructure as code, and observability tooling, Experience designing systems for CUI, ITAR, export-controlled, or otherwise sensitive data environments
What You'll Do.
Develop integrations with enterprise platforms
Build and optimize RAG pipelines
Develop agentic workflows
Define architecture for AI systems
Partner with Security
Evaluate and integrate LLM providers
Build observability into AI systems
Contribute reusable AI engineering standards
How You'll Work.
Team & Collaboration
Partner with Security, IT, and Compliance teams; Work side-by-side with passionate engineers and technicians
Communication Scope
Explain AI architecture, risks, and tradeoffs
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