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Junior AI Engineer

Synergie SystemsPhoenix, AZ🇺🇸United StatesPosted 12 Aug 2026

Why This Role Stands Out

This hybrid role offers you the chance to build cutting-edge Generative AI and LLM applications, fostering significant skill development in a dynamic tech environment. You'll thrive here if you're eager to contribute to innovative projects and grow your career within a reputable company. Apply now to join a forward-thinking team!

Quick Overview

Work Type
Hybrid
Level
Junior

Job Description

Job Title: Junior AI Engineer

Location: Phoenix, AZ

Job Type: Only W2

Job Description:

·       Develop and deploy AI/ML models for business applications.

·       Build Generative AI and LLM-based applications using models such as GPT, Claude, Gemini, or open-source LLMs.

·       Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.

·       Design AI agents, intelligent automation, and AI-powered workflows.

·       Prepare, clean, transform, and analyze datasets for model development.

·       Develop APIs and backend services for AI applications.

·       Fine-tune, evaluate, and optimize machine-learning/LLM models when appropriate.

·       Implement model monitoring, evaluation, security, and performance optimization.

·       Deploy AI applications using AWS, Azure, or Google Cloud.

·       Use Docker, Kubernetes, CI/CD, and MLOps practices for production deployment.

·       Collaborate with software engineers, data scientists, product managers, and business stakeholders.

·       Troubleshoot model, application, data, and production issues.

Technical Skills:

·       Python — strong proficiency

·       Machine Learning and Deep Learning

·       Generative AI / LLMs

·       Prompt engineering and LLM evaluation

·       RAG and vector databases

·       REST APIs / FastAPI

·       SQL and database fundamentals

·       Git/GitHub

·       Linux

·       Docker

·       Cloud platforms: AWS / Azure / Google Cloud Platform

·       Familiarity with PyTorch or TensorFlow

·       Understanding of NLP and/or computer vision

·       Basic MLOps and CI/CD concepts

 

Skills

Docker
FastAPI
SQL
AWS
MLOps
Machine Learning
NLP
Azure
Computer Vision
Deep Learning
GPT
Generative AI
Git
Google Cloud
Kubernetes
LLM
Phoenix
PyTorch
Python
REST
TensorFlow

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