Forward Deployed Engineer

Clutch

. Embed directly with a Praxent client and build AI systems inside their business .

Posted 9/22/2026full-timeRemote • United StatesMid-LevelSenior💰 $156,000 - $186,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI systems, integrating with legacy infrastructures, and ensuring compliance in regulated environments. Proficient in Python and/or TypeScript, with a strong background in shipping production software and collaborating with client stakeholders.

Highest-signal resume keywords

LLM And Agentic SystemsPython ProgrammingTypeScript ProgrammingCloud Computing (AWS, Azure, GCP)Risk And Compliance Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Software DevelopmentAI System IntegrationTechnical Decision-MakingCode DocumentationCI/CD PracticesData IntegrationFeature ShippingGuardrails And Runbooks DevelopmentClient Technical CommunicationEvaluation And Testing

Soft Skills

CollaborationProblem-SolvingClient Engagement

Tools & Technologies

ContainersVector StoresAgent FrameworksGoverned Data SystemsIdentity Systems

Industry Keywords

BankingLendingPaymentsModel-Risk ReviewSecurity Review

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonTypeScript

About the role

Key responsibilities & impact

Embed directly with a Praxent client and build AI systems inside their business
Own a workstream from understanding the client’s problem through delivery and documentation
Write most of the code, make day-to-day technical decisions, and take the workstream into production
Ship dependable agentic and LLM-backed features meeting functional and compliance requirements
Integrate AI with legacy cores, governed data, identity systems, and client infrastructure
Build evaluations, guardrails, runbooks, and handoffs for client operation
Collaborate with Senior Forward Deployed Engineers, Product Managers, client engineers, and other client stakeholders
Own the result from first commit through confident handoff

Requirements

What you’ll need

3+ years shipping production software that other people depended on
Direct experience with LLM and agentic systems (RAG, agent frameworks, vector stores, evals) ideal
Fluency in Python and/or TypeScript
Comfort across the stack, a major cloud (AWS, Azure, or GCP), containers, and CI/CD
Track record of integrating with messy, real-world systems and data
Ability to hold a technical conversation with a client’s engineers and work directly with them
Experience in banking, lending, or payments strongly preferred
Experience working directly with risk and compliance partners and getting AI through model-risk or security review in a regulated organization strongly preferred
Currently and legally authorized to work in the United States without current or future sponsorship
International relocation or remote work arrangements outside of the U.S. will not be considered

Benefits

Comp & perks

15 days PTO to start and growing every year
9 US holidays
5 wellness days
Paid parental leave
Medical, dental, vision, disability, and accident insurance
Wellness program
IRA with up to 3% match
Partner-level enablement and direct lines into Anthropic and Microsoft ecosystems