Enterprise AI Engineer: Build Production-Grade LLM Apps

Dexian; Jacksonville (FL); In loco; USD 120.000 - 160.000; Tempo pieno

Descrizione del lavoro

Dexian is seeking a hands-on AI Engineer to turn high-value business workflows into secure, reliable AI applications. You will collaborate across product, support, engineering and operations to prototype, validate and harden AI-enabled solutions that connect knowledge, cloud services and enterprise platforms to real workflows.

The role emphasizes pragmatic building over research, with focus on existing AI platforms, integration, and delivering measurable business ROI through robust, scalable

Competenze

• Bachelor’s or Master’s degree in a technical field such as CS, Engineering, Info Systems or Data Science.
• 2+ years of software, AI/ML or applied-AI engineering experience.
• Proficient Python programming and software-engineering fundamentals.
• Experience with cloud platforms (AWS, Azure, or Google Cloud).
• Ability to build and test backend apps and REST APIs.

Mansioni

• Partner with Product, Support, SE/Integration and Operations to identify value-workflows where AI adds measurable value.
• Rapidly prototype AI-enabled apps and automate production-ready solutions.
• Build backend services and AI workflows using Python, REST APIs, and modern LLM APIs.
• Create reusable connectors and services with secure authentication and auditability.

Conoscenze

Python

REST APIs

AI/ML engineering

Security by design

Communication with stakeholders

Formazione

Bachelor’s or Master’s in CS/Engineering/Data Science

Strumenti

AWS

Azure / Google Cloud

Docker

CI/CD

LangGraph / LangChain / Strands

Descrizione del lavoro

Dexian is seeking a hands-on AI Engineer to turn high-value business workflows into secure, reliable AI applications. You will collaborate across product, support, engineering and operations to prototype, validate and harden AI-enabled solutions that connect knowledge, cloud services and enterprise platforms to real workflows.

The role emphasizes pragmatic building over research, with focus on existing AI platforms, integration, and delivering measurable business ROI through robust, scalable