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Forward Deployed Engineer(Java Fullstack or Python Fullstack Develope)

Eterno Tech, IncDallas, TX🇺🇸United StatesPosted Oct 15, 2026

Why This Role Stands Out

This hybrid role at Eterno Tech offers a fantastic opportunity to dive deep into cutting-edge AI and full-stack development, perfect for experienced Java or Python engineers with a passion for building impactful solutions. You'll gain valuable experience in agentic AI, LLMs, and RAG while contributing to innovative projects in a collaborative environment with excellent growth potential. Apply now to shape the future of fintech with a renowned company!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
3 days ago
AngularGraphQLJavaLLMPythonReact

Job Description

Role:  Forward Deployed Engineer
We need either Java Fullstack or Python Fullstack with (Agentic AI+ LLM+RAG+ Graphql+ API+React or angular and any cloud 
No. of positions: 3
Multiple locations opening:San Diego/NYC/Dallas/Atlanta
Must-haves:
Master's from a reputed university
Very strong communicator
Strong Fintech experience

 
Own the actual build: deep, genuine hands-on execution across the stack — frontend (React / Angular), BFF / GraphQL, backend APIs, cloud, and CI/CD. 
Deliver specific stack and microflow work assigned by the FDE Lead, with strong attention to verification and quality. 
Run AI-assisted and agentic engineering workflows hands-on — ship agents and automations, and work comfortably directly against LLM APIs. 
Contribute to architecture and design discussions without owning the target-state decision — support and execute against the Lead's direction. 
Own your slice of delivery under the Lead's direction, and stay realistic about constraints and dependencies. 
Work professionally and clearly in internal working sessions. 
What we're looking for 
Full-stack, hands-on depth (core requirement): genuine experience building across multiple layers of the stack — not a single framework or narrow specialty — with real end-to-end delivery you can speak to in detail. 
AI / agentic engineering fluency (core requirement): hands-on experience running agent harnesses, building automations, and working directly against LLM APIs — not just passing exposure to AI tools. 
Working understanding of architecture and target-state design: enough to execute well against a given direction and contribute meaningfully to design conversations. 

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