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Forward Deployed Engineer AI

DTEL Engineering & Consultants IncColumbus, OH🇺🇸United StatesPosted Sep 25, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your Python, SQL, and AI/GenAI expertise to build innovative solutions and directly impact client challenges, with excellent opportunities for continuous learning and skill development. If you thrive on problem-solving, rapid prototyping, and working with cutting-edge technologies in a collaborative environment, you'll find this position incredibly rewarding. Apply today to join a forward-thinking team and shape the future of AI-driven engineering!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Columbus, OH, United States
Posted
21 hours ago

Job Description

Must Have Technical/Functional Skills

  • Must have hands-on programming experience in Python with strong coding and debugging skills.
  • Must have experience in SQL, data processing, and relational database concepts.
  • Must have experience in developing and consuming REST APIs and enterprise integrations.
  • Must have strong understanding of Data Structures, Algorithms, and Problem-solving techniques.
  • Must have experience with Git, version control, and CI/C D practices.
  • Must have working knowledge of Cloud Platforms (AWS, Azure, or Google Cloud Platform) and containerization (Docker/Kubernetes).
  • Must have 1 year experience building or supporting AI/GenAI applications using LLMs, Prompt Engineering, and RAG concepts.
  • Must have minimum 1 year experience in application troubleshooting, testing, deployment, and production Support.

Roles & Responsibilities

  • Understand customer business challenges and translate them into scalable technical solutions.
  • Design, develop, test, and deploy applications, APIs, and integrations using modern engineering practices.
  • Build Proof of Concepts (PoCs) and rapidly prototype solutions to validate business and technical requirements.
  • Continuously evaluate and apply emerging technologies, including AI/GenAI capabilities, to solve enterprise problems
  • Troubleshoot application, integration, and production issues through systematic debugging and root cause analysis.
  • Work with Cloud, Containerization, and CI/CD technologies to support production deployments.

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