Remote-First AI Engineer for Cybersecurity Platform

Secure Engage; Oregon (WI); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first flexibility

Equity participation

Hands-on AI exposure

Growth opportunities

Transparent environment

Job summary

Secure Engage is hiring AI Engineers to join a forward-deployed engineering team, working directly with customers and internal stakeholders to implement AI workflows for cybersecurity and compliance. Roles include Senior and Junior positions, with hybrid or remote options across Canada/US.

Ideal candidates will have hands-on experience with Python, APIs, LangChain, and LM deployments in regulated environments; strong problem-solving and collaborative skills are essential.

Qualifications

• Senior role requires 5+ years of software engineering with 2+ years in applied AI/ML (LLMs).
• Junior role requires 1–2 years in software dev or AI/ML research; internships/academics acceptable.
• Exposure to LLMs, prompt engineering or ML tooling.

Responsibilities

• Design, build, and maintain AI-powered tools and workflows for compliance assessments, evidence mapping, risk flagging, and reporting
• Deploy and adapt AI solutions with customers and internal teams
• Integrate large language model APIs with structured data and proprietary workflows
• Collaborate with QA and Product to test model outputs, redaction pipelines, and human-in-the-loop review
• Develop fine-tuning strategies, prompt engineering, RAG, and performance monitoring
• Communicate technical insights to non-technical stakeholders and provide training where needed

Skills

Python

APIs

ML libraries

LangChain

OpenAI SDK

Hugging Face

LLM deployment

Vector databases

Prompt design

Tools

Pinecone

Haystack

Job description

Secure Engage is hiring AI Engineers to join a forward-deployed engineering team, working directly with customers and internal stakeholders to implement AI workflows for cybersecurity and compliance. Roles include Senior and Junior positions, with hybrid or remote options across Canada/US.

Ideal candidates will have hands-on experience with Python, APIs, LangChain, and LM deployments in regulated environments; strong problem-solving and collaborative skills are essential.