AI/ML Engineer Secure AI
Micro1
Job Overview
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Job Description
About micro1
micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from top universities. We convert expertise into high-signal training datasets and offer talent management tooling for performance measurement and improvement.
Role Overview
As an AI/ML Engineer Secure AI, you will build and ship secure, production-grade AI and agentic systems for high-assurance environments. You will work at the intersection of LLMs, agentic architectures, and secure cloud infrastructure, owning systems end-to-end from prototype research to hardened deployments.
Key Responsibilities
- Design and ship secure AI and agentic systems using Python, LLMs, LangChain/LangGraph, and modern cloud platforms.
- Build multi-agent architectures including orchestration, tool use, prompt engineering, and RAG pipelines.
- Own data and training infrastructure including pipelines, ETL, metadata, ontologies, and evaluation workflows.
- Integrate frontier AI platforms like enterprise and government-grade LLM providers into production systems.
- Build and maintain production APIs, SDKs, and CI/CD pipelines with strong security and reliability.
- Apply secure-by-default engineering practices across code, cloud infrastructure, and deployment workflows.
- Collaborate with engineers, researchers, and operators, ensuring clear communication and thorough documentation.
Qualifications
- Strong Python engineering background with full system ownership from design to production.
- Hands-on experience with LLMs, agentic systems, LangChain/LangGraph, and prompt engineering.
- Experience deploying systems on secure cloud infrastructure (e.g., AWS GovCloud, Azure IL5+, GCP Gov).
- Deep familiarity with data pipelines, ETL, metadata systems, and structured data modeling.
- Experience building REST APIs, integrating SDKs, and automating deployments via CI/CD.
- Ability to operate in high-assurance, regulated environments with strict security and compliance requirements.
Nice to Have
- Experience deploying AI systems in government or regulated enterprise environments.
- Familiarity with Vertex AI, Bedrock, or similar managed AI platforms.
- Background in security, compliance, or high-reliability systems.
- Experience scaling agentic systems from prototype to sustained production use.
Compensation & Benefits
This full-time remote role offers a base salary of between $90,000 and $140,000 USD annually, along with equity compensation, performance-based bonuses, comprehensive benefits including up to 100% health-insurance premium reimbursement, and paid time off.
Key skills/competency
Python, LLMs, Cloud, Security, CI/CD, Data Pipelines, ETL, API, LangChain, Agentic Systems
How to Get Hired at Micro1
- Research micro1's culture: Study their mission, values, and recent achievements.
- Customize your resume: Align with Python, LLM, and cloud experience.
- Highlight security expertise: Emphasize secure-by-default engineering practices.
- Prepare for technical interviews: Practice coding, cloud deployments, and API design.
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