Generative AI Engineer — Hybrid, Mentorship & Growth

Winaxis LLC; Town of Texas (WI); Hybrid; USD 85,000 - 125,000; Full time

Benefits offered by this job

Mentorship

Learning support

Certification help

Career growth

Collaboration culture

Job summary

Winaxis LLC is seeking an AI Engineer (0–3 years) to join our hybrid team in the United States. You will develop AI applications using Generative AI, LLMs, and ML, collaborating with engineers, PMs, and designers to deliver robust AI features.

The role emphasizes hands-on Python development, RAG pipelines, and model integration with REST APIs. Fresh graduates and early-career professionals are encouraged to apply, with mentorship and growth opportunities on offer.

Qualifications

• Bachelor’s degree in Computer Science, IT, AI, Data Science or related field.
• 0–3 years in AI, ML or software development; internships and projects welcome.
• Strong Python programming skills.
• Familiarity with Generative AI and LLMs.

Responsibilities

• Develop and maintain AI-powered applications using modern AI frameworks.
• Build and integrate solutions with Large Language Models.
• Develop RAG pipelines and AI agents.
• Write clean, well-documented Python code.
• Integrate AI models with web apps and REST APIs.
• Perform prompt engineering and optimize outputs.
• Work with structured and unstructured data for AI apps.
• Debug, test, and improve AI solutions based on metrics.
• Collaborate with engineers, PMs and designers to deliver AI features.
• Stay updated with Generative AI and ML advancements.

Skills

Python

ML concepts

Generative AI/LLMs

LangChain/LlamaIndex

REST APIs/JSON

SQL/databases

Git/version control

Analytical/problem-solving

Communication

Education

Bachelor's degree in CS/AI

Tools

LangChain

LlamaIndex

FastAPI/Flask

Docker

Job description

Winaxis LLC is seeking an AI Engineer (0–3 years) to join our hybrid team in the United States. You will develop AI applications using Generative AI, LLMs, and ML, collaborating with engineers, PMs, and designers to deliver robust AI features.

The role emphasizes hands-on Python development, RAG pipelines, and model integration with REST APIs. Fresh graduates and early-career professionals are encouraged to apply, with mentorship and growth opportunities on offer.