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Forward Deployed Engineer (FDE)

Shimento, Inc.San Francisco, CA🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to directly impact major banking clients by designing and deploying cutting-edge AI and automation solutions, fostering significant career growth in a highly reputable company. You'll thrive here if you possess strong Python, SQL, and API skills, coupled with a background in financial services and a passion for innovative problem-solving. This contract-to-hire position is an excellent chance to advance your career in a dynamic and collaborative environment.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
San Francisco, CA, United States
Posted
Yesterday

Job Description

Forward Deployed Engineer (FDE) – Banking

Location: San Francisco, CA / New Jersey
Work Model: Hybrid – 3 Days Onsite
Duration: 6 Months Contract-to-Hire
Type: C2H or FTE

Job Overview

We are looking for a Forward Deployed Engineer (FDE) with strong banking/financial services experience and hands-on expertise in software engineering, cloud, APIs, data, and AI/LLM solutions. The FDE will work directly with banking clients to understand business problems, design solutions, and deploy production-ready AI and automation applications.

Responsibilities

  • Work directly with banking clients to gather requirements and solve complex technical problems.
  • Design and deploy AI/LLM solutions, RAG, tool calling, evaluation, observability, and security controls.
  • Build integrations using Python, SQL, APIs, cloud platforms, and enterprise systems.
  • Convert business requirements into solution designs, technical roadmaps, and delivery plans.
  • Partner with Engineering, Product, Security, Data, Compliance, and Business teams.
  • Manage priorities and clearly communicate technical risks and trade-offs.

Required Skills

  • 5+ years in Software Engineering, Solutions Architecture, Technical Consulting, or FDE roles.
  • Mandatory Banking / Financial Services experience.
  • Strong hands-on Python, SQL, APIs, Cloud, and enterprise integrations.
  • Experience building and deploying AI/LLM applications and RAG solutions.
  • Strong customer-facing and communication skills.
  • Experience working in regulated or security-sensitive environments.

Preferred

  • Data platforms, data governance, MLOps/LLMOps.
  • Private cloud, on-premises, or air-gapped environments.
  • Banking modernization or AI transformation experience.
  • Knowledge of banking domains such as risk, lending, payments, fraud, compliance, or financial data.

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