Client-Embedded AI Engineer — Remote

Praxent; Elm (PA); Remote; USD 156,000 - 186,000; Full time

Job summary

Praxent is seeking a Forward Deployed Engineer who embeds with a client to build production AI systems inside regulated financial environments. You will own components from concept through delivery, write code, and ensure compliance handoffs after deployment.

Work with Praxent engineers and client teams across the full delivery stream, from problem framing to documented, deployable solutions. Strong Python/TypeScript, cloud, and experience embedding AI in complex systems are required; banking

Qualifications

• 3+ years shipping production software with client embedding experience.
• Fluency in Python and/or TypeScript, and experience with major cloud platforms.
• Experience integrating with messy real-world systems in a client deployment.
• Ability to discuss technical topics with client engineers.
• Banking/payments domain experience with risk/compliance collaboration.

Responsibilities

• Ship dependable AI features in client environments.
• Own end-to-end workstream from concept to delivered solution.
• Integrate with legacy cores, governed data, and identity/infrastructure.
• Provide runbooks, guardrails, and handoffs for client operability.
• Collaborate with Praxent and client teams across delivery.

Skills

LLM systems

Python/TypeScript

Client embedding

Cloud platforms

AI governance

Tools

AWS

Azure

GCP

Containers

CI/CD

Job description

Praxent is seeking a Forward Deployed Engineer who embeds with a client to build production AI systems inside regulated financial environments. You will own components from concept through delivery, write code, and ensure compliance handoffs after deployment.

Work with Praxent engineers and client teams across the full delivery stream, from problem framing to documented, deployable solutions. Strong Python/TypeScript, cloud, and experience embedding AI in complex systems are required; banking