AI Engineer – Forward Deployed (Senior & Junior Roles Available)

Summary

Secure Engage is building a category-defining AI platform for cybersecurity and compliance. They are looking for two AI Engineers (1 Senior, 1 Junior) to join their forward-deployed engineering team, working directly with customers and internal stakeholders to implement powerful AI workflows.

Responsibilities

• Design, build, and maintain AI-powered tools and workflows for compliance assessments, evidence mapping, risk flagging, and reporting
• Work with customers and internal teams to deploy and adapt AI solutions to specific use cases (e.g., OSFI B-10, OCC, SOC2)
• Integrate large language model APIs (e.g., OpenAI, Anthropic, Mistral) with structured data and proprietary workflows
• Collaborate with QA and Product to test model outputs, build redaction pipelines, and enable human-in-the-loop review
• Assist in the development of fine-tuning strategies, prompt engineering, retrieval-augmented generation (RAG), and performance monitoring
• Communicate technical insights to non-technical stakeholders and provide training where needed

Skills

• 5+ years of experience in software engineering with 2+ years in applied AI/ML (preferably LLMs)
• Strong proficiency in Python, APIs, and ML libraries (e.g., LangChain, OpenAI SDK, Hugging Face)
• Experience deploying LLMs into production or compliance-sensitive environments
• Solid understanding of prompt design, vector databases, document parsing, and privacy constraints
• Experience working in fast-paced startups, especially in regulated or enterprise domains
• Strong problem-solving, architectural thinking, and documentation skills
• 1–2 years of experience in software development or AI/ML research (internships and academic projects acceptable)
• Exposure to LLMs, prompt engineering, or ML tooling (e.g., OpenAI, Pinecone, Haystack, LangChain)
• Strong curiosity and willingness to learn about cybersecurity, compliance, and enterprise workflows
• Comfortable writing Python scripts and working with APIs and structured data
• Strong communication and collaboration skills; coachable and hungry to grow

Qualifications

Must Haves

• 5+ years of experience in software engineering with 2+ years in applied AI/ML (preferably LLMs)
• Strong proficiency in Python, APIs, and ML libraries (e.g., LangChain, OpenAI SDK, Hugging Face)
• Experience deploying LLMs into production or compliance-sensitive environments
• Solid understanding of prompt design, vector databases, document parsing, and privacy constraints
• Experience working in fast-paced startups, especially in regulated or enterprise domains
• Strong problem-solving, architectural thinking, and documentation skills
• 1–2 years of experience in software development or AI/ML research (internships and academic projects acceptable)
• Exposure to LLMs, prompt engineering, or ML tooling (e.g., OpenAI, Pinecone, Haystack, LangChain)
• Strong curiosity and willingness to learn about cybersecurity, compliance, and enterprise workflows
• Comfortable writing Python scripts and working with APIs and structured data
• Strong communication and collaboration skills; coachable and hungry to grow

Benefits

• Remote-first flexibility with collaborative support from senior team members
• Competitive compensation with equity participation
• Hands-on exposure to cutting-edge AI in a mission-critical domain
• Opportunities for growth, mentorship, and advancement into product or platform roles
• A purpose-driven, transparent, and agile work environment