TEN-XER · 2 days ago
Senior / Founding Forward Deployed Engineer – Integrations & AI Needs Analysis
United States
Full-time
Remote
Senior Level
$200K/yr - $220K/yr
5+ years expTen-Xer is a company dedicated to matching people with roles that allow them to build and grow. They are seeking a Senior / Founding Forward Deployed Engineer to lead the integration of customer ecosystems and enhance AI-driven needs analysis, bridging engineering, product, and customer experiences.
Human Resources
Hiring Manager
Hassaan Ahmed
Responsibilities
Design and implement integrations with core customer systems, ensuring reliability and scalability
Qualification
Required
5+ years of ML expertise (PyTorch, TensorFlow) and 2+ years with LLMs
Senior-level experience as a Solutions Engineer, Forward Deployed Engineer, or similar customer-facing technical role
Track record owning complex customer deployments from discovery through go-live and post-launch iteration
Strong background in APIs, integrations, and data pipelines across systems such as HCM, LMS, CRM, or equivalent enterprise platforms
Hands-on experience implementing integrations via REST APIs, webhooks, and/or integration platforms (e.g., Workato, Zapier, MuleSoft, Tray.io)
Ability to design integration patterns and reusable templates that make future deployments faster and more repeatable
Comfort working directly with enterprise customers on ambiguous, high-impact problems
Excellent communication skills; able to explain technical trade-offs clearly to both technical and non-technical stakeholders
Proven experience partnering with product, engineering, sales, and customer success to turn customer insights into product and platform improvements
Able to think both tactically (shipping integrations) and strategically (building systems and playbooks that scale)
Thrives in fast-moving startup environments with high ownership, autonomy, and accountability for business outcomes
Excited to help define and build a solutions / FDE function, including processes, documentation, and eventually a small team
Preferred
5+ years of experience in ML (PyTorch, TensorFlow)
2+ years of hands-on experience working with LLMs (Hugging Face, OpenAI, Anthropic)
Proven experience building and deploying production AI systems, including RAG and vector search
Strong knowledge of prompt engineering, AI safety, and content filtering best practices
Comfort architecting scalable infrastructure that integrates into complex environments
Experience working directly with customers to deploy and iterate on technical solutions in real environments
Excellent communication skills with the ability to explain complex concepts clearly to both technical and non-technical stakeholders
Proven ability to gather feedback, shape product direction, and collaborate effectively with cross-functional teams
Familiarity with Rails is a plus, but not required — strong candidates can ramp up quickly
Experience with REST APIs, PostgreSQL, ActiveRecord, and RSpec
Understanding of frameworks like LangChain or LlamaIndex, or the ability to learn them rapidly
Thrives in ambiguity, learns quickly, and iterates fast in lean environments
Excited to work in a small, high-impact team where communication and ownership are key
Company
TEN-XER
We solve problems of people management for organizations. This ranges from recruitment to building the right tools for organizations to manage people..
Founded in 2020Seatle, Washington, US
2-10 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase