Intelix.AI
Forward Deployed Engineer
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Forward Deployed Engineer | AI/ML Developer Platform
Remote (US preferred; Western Europe considered)
Full-time
Up to $240k base + meaningful equity (base + equity, this is not an OTE role)
THE ROLE
Own enterprise onboarding and deployments end-to-end, working directly with the CTO. Today he does these himself; you take them over and build the playbook.
- Role is 70% customer-facing / 30% shipping production code.
- Deploy the platform into demanding enterprise environments (SaaS, VPC, and on-prem) using Kubernetes, Helm, and Docker.
- Own the full enterprise integration surface: SAML/SSO, SCIM, networking (PrivateLink/VPC peering, DNS, TLS), and security reviews with customer infosec teams.
- Debug live in customer environments: logs, kubectl, network traces. Turn what you find into product fixes.
- Ship real code (Python/TypeScript) back into the product based on what you learn in the field.
- Clear path to leading deployments/solutions engineering as the team scales.
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THE IDEAL PROFILE
- 3–6 years in a post-sales forward deployed / solutions / customer engineering role at a B2B SaaS or AI/ML company. This is not a pre-sales SE role.
- Production Kubernetes, Docker, and Helm, plus at least one major cloud (AWS/Azure/GCP). Enterprise on-prem or private-cloud deployment experience.
- Comfortable with the supporting stack: Terraform or similar IaC, CI/CD, Linux, Postgres, REST APIs.
- Writes and ships production code autonomously. Strong in Python or TypeScript, at home in a terminal.
- Credible in front of enterprise engineering teams. You can hold your own with their platform and security people.
- Genuinely enjoys the 70/30 customer/code split. Not tolerates it, enjoys it.
- Bonus: regulated industries (finserv, healthcare, telecom, insurance), SOC 2 / security questionnaires, LLM/RAG/agent tooling, OpenTelemetry.
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