Forward Deployed AI Full Stack Engineer
- Compensation
- Not disclosed
- Location
- Seattle, WA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Fullstack
- Posted
Skills
Must have
- Five or more years building full stack applications in production.
- Strong frontend skills with a modern framework, plus solid backend and data engineering.
- Hands-on experience building with modern AI and ML systems, including LLMs and retrieval.
- A track record of shipping complete, adopted products under real deadlines.
- Comfort integrating third-party systems and APIs.
- Care for security, permissions, and data protection across the stack.
- Strong product instincts and attention to the member experience.
Nice to have
- Experience deploying software at customer sites in a forward deployed model.
- Familiarity with retrieval-augmented generation, vector search, and knowledge graphs.
- Experience integrating CRM, AMS, or knowledge-platform systems.
- Design sensibility and comfort collaborating closely with product design.
- Exposure to agentic or neuro-symbolic AI systems.
Full description
About Sapience AI
Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share.
The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that.
Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves.
Let’s achieve more, together.
Where this role sits
This is an end-to-end engineering role that ships complete, working experiences in the customer’s world. You build across the stack, from the data and services underneath to the interface a member touches.
You take MINERVA and the COGENT architecture and turn them into a solution a specific community can use: the workflows, the screens, and the connections that make collective intelligence part of how they work every day.
You move at the speed of a deployment and own the whole path from problem to a running product members actually adopt.
Why this role exists
A platform only creates value when people use it. For each community, that means an experience shaped around how they work, connected to their systems, and easy enough that expertise flows without friction.
Building that experience end to end, fast, in a customer environment, takes an engineer who can move from data pipeline to interface without a handoff at every seam.
The Forward Deployed AI Full Stack Engineer is that person. You deliver the whole solution, get it adopted, and carry what you learn back so the core platform serves the next community better.
What you will own (Areas of Responsibility)
You hold seven areas of responsibility inside the forward deployed team. Each one is yours to set direction on, build, and measure.
1. End-to-end solution delivery
- Build complete solutions for customer deployments, from backend services to the member-facing interface.
- Own the full path from problem to a running experience in the customer’s environment.
- Ship quickly under deployment timelines while keeping the result maintainable.
2. Member-facing experiences on MINERVA
- Build the interfaces and workflows that let members search, act on, and share their community’s expertise.