Forward Deployed Backend AI Engineer

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.

This is a hands-on backend engineering role that ships in the customer’s world. You embed with a customer, understand their systems and data, and build the backend that connects Sapience AI to their reality.

You take MINERVA and the COGENT architecture from a general platform to a working deployment: the pipelines that bring a community’s knowledge in, the services that connect to their CRM, AMS, and knowledge base, and the integrations that make collective intelligence real on their data.

You work in the field, close to the problem, with the speed that a customer deployment demands and the discipline that production and trust require.

Every professional community stores its expertise differently. The value of collective intelligence depends on reaching that expertise where it actually lives, across systems that were never designed to connect.

General platforms do not deploy themselves. Someone has to build the backend that meets each customer where they are, fast, without cutting the corners that protect their data.

The Forward Deployed Backend AI Engineer is that builder. You turn a deployment from a plan into working software running against the customer’s systems, and you feed what you learn back so the core platform gets better for everyone.

You hold seven areas of responsibility inside the forward deployed team. Each one is yours to set direction on, build, and measure.

• Build the backend services and integrations that connect Sapience AI to a customer’s CRM, AMS, knowledge base, and identity systems.
• Design data pipelines that bring a community’s knowledge into the platform reliably and keep it current.
• Ship production-grade services under the time pressure of a live deployment, without sacrificing correctness.

• Build ingestion and transformation pipelines that feed the KO (knowledge object) graph and the retrieval layer COGENT relies on.
• Handle messy, fragmented, real-world data, including deduplication, entity resolution, and quality checks.
• Make the ingested knowledge searchable and trustworthy for members from day one.

• Integrate deployment‑specific logic with the MINERVA platform and the COGENT architecture through their APIs and extension points.
• Adapt the platform’s reasoning and retrieval to a customer’s domain without forking the core.
• Contribute deployment patterns back into the platform so common needs stop being custom work.

• Build every integration to keep community data protected, access controlled, and every action governed.
• Implement the customer’s data‑handling, residency, and access requirements correctly.
• Treat trust as a design constraint, not a review step at the end.

• Instrument deployments so they can be monitored, debugged, and trusted in…