AI/ML Engineer: GTM + Integration

Type: 1099 independent contractor Contract Window: ASAP– Dec 9, 2025 (3‑month initial term; extension possible) Start: Immediate Location: Remote About Aurat Aroma: Aurat Aroma’s Synthetic Olfactory Engine (V2) enables software products to classify, simulate, and reason about scent signals. We partner with enterprises to embed our engine into their stacks for R&D, quality, safety, and new product experiences. About the Role: We’re hiring a contractor who is both a capable AI/ML integrator and a motivated go-to-market (GTM) operator. You’ll: • Own prospecting → discovery → demo → paid enterprise evaluations. • Close small-enterprise V2 licensing deals (target MRV $5k–$20k) and facilitate contracts end-to-end. • Integrate V2 into each customer’s environment (SDKs, auth, configs, observability) to ensure value is realized quickly. This is ideal for someone who loves wearing two hats: technical and commercial. What You'll Do (Bus. Devops + AI/ML Devops): • Identify, qualify, and outreach to prospects (LinkedIn, X, Reddit, industry groups). • Run discovery, lead demos, and coordinate paid evaluations/pilots. • Maintain a weekly pipeline log (targets, stage, next steps) and surface qualified interest. • Prepare/adapt V2 enterprise artifacts for customer stacks: container/IaC tweaks, env vars, deployment configs. • Build light SDK wrappers/adapters (Python/Node) and runnable code samples. • Implement auth patterns (API keys, OAuth2/SAML/JWT), rate limiting, error handling. • Map data formats; add pre/post-processing where needed. • Add observability (logs/metrics), perform basic latency profiling, and write troubleshooting guides. • Provide a short integration README per customer (steps, configs, known issues) + a high-level security note (data flow, access controls, logging/retention, hardening checklist). Must‑haves: • 2+ years of hands‑on software experience (internships and projects welcome) with applied AI/ML or platform integration. Advanced students with strong grounding in AI/ML and/or computational neuroscience are encouraged to apply. • Proficiency in Python, Node.js, Rust; comfort with containers and basic IaC. • Familiarity with enterprise auth (OAuth2/SAML/JWT), logging/metrics, and basic performance profiling. • Demonstrated GTM capability: prospecting, discovery, demoing, and shepherding contracts. • Clear, concise written communication; ability to produce customer‑ready runbooks/readmes. What will make you thrive here: • Ambition to take DevOps/ML skills out of the sandbox and into real enterprise relationships. • Bias to action, ownership of outcomes, and comfort with milestone/success‑based compensation. • Experience in regulated, safety, or quality‑driven environments (nice to have). We value diverse perspectives and welcome applicants from all backgrounds. If you’re excited about the intersection of AI/ML integration and GTM, we’d love to hear from you.