Forward Deployed Engineer

Job not on LinkedIn

🕒 September 22

⛰️ Colorado, Florida, +13 more states – Remote

⛰️ Colorado – Remote 🐊 Florida – Remote 🌾 Nebraska – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $156k - $186k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Praxent

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2000

🤖 Artificial Intelligence

💳 Fintech

💼 Consulting

🔥 Funding within the last year

💰 PE Growth/Expansion on 2026-04

Artificial Intelligence • Fintech • Consulting

Praxent is an AI transformation and engineering firm that builds AI-native products, processes, and teams for financial services firms. They specialize in modernizing legacy systems (for example, payment reconciliation at scale), AI-enabled engineering and SDLC, custom AI agents (including Claude cowork enablement and agentic engineering), and data transformation for Banking, Lending, Payments, Capital Markets, Insurance, and Health Benefits/PBM. Praxent also offers AI security and governance (PraxentGuard) and positions itself as a partner to financial institutions for deploying governed, auditable AI solutions.

📋 Description

• 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

• 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

• 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

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