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Forward Deployed Engineer

Flexon Technologies Inc.Pleasanton, CA🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

This is an exciting opportunity to directly impact clients by solving complex business challenges with cutting-edge AI and software solutions, fostering significant career growth in a client-facing engineering role. You'll thrive here if you possess strong Python, SQL, and cloud platform skills, enjoy translating business needs into technical realities, and are eager to work on generative AI and LLM technologies. Apply now to become a key player in driving innovation at Flexon Technologies!

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Pleasanton, CA, United States
Posted
22 hours ago

Job Description

Job Title: Forward Deployed Engineer

Location: Pleasanton, CA (On-Site)

Job Description:

A Forward Deployed Engineer (FDE) is a customer-facing software or AI engineer who works directly within a client's business environment to solve complex business challenges using technology.

Key responsibilities include:

Understanding customer business problems and requirements.

Designing and developing custom software solutions.

Building and managing data pipelines.

Deploying solutions into production environments.

Troubleshooting issues and optimizing implementations.

Acting as a bridge between customer needs and technology solutions.

Experience working directly with business stakeholders and translating requirements into technical solutions.

Python, SQL, APIs and Microservices, Cloud Platforms (Azure preferred, AWS or Google Cloud Platform acceptable), Machine Learning and Data Science fundamentals.

Must Have Technical/Functional Skills

  • 8+ years of experience in software engineering, data engineering, AI/ML, or solution consulting roles.
  • Reacts
  • Python
  • SQL
  • APIs and Microservices
  • Cloud Platforms (Azure preferred, AWS or Google Cloud Platform acceptable)
  • Machine Learning and Data Science fundamentals
  • Generative AI and Large Language Models
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • LangChain, LlamaIndex, Semantic Kernel, or similar frameworks
  • Git, CI/CD, DevOps practices

Data & Analytics

  • Data Engineering
  • Data Modeling
  • Power BI/Tableau
  • Data Visualization
  • ETL/ELT processes

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