Junior AI Engineer

Systems Integration Solutions; Austin (TX); On-site; USD 85,000 - 120,000; Full time

Job summary

Systems Integration Solutions in Austin, TX is seeking a motivated Junior AI Engineer to join our team. You will work with Python/Java to develop AI-powered solutions, including intelligent agent workflows, and integrate with enterprise systems.

The role emphasizes collaboration in a fast-paced environment. The ideal candidate has 1–3 years of software or AI development experience, strong problem-solving skills, and familiarity with LLMs, Agentic AI, and REST APIs.

Qualifications

• 1–3 years of software development or AI engineering experience.
• Proficient in Python and Java.
• Experience with MongoDB.
• Knowledge of LLMs and prompt engineering.
• Experience with Agentic AI/AI agents or multi-agent systems.
• Familiarity with REST APIs and Git workflows.

Responsibilities

• Develop and maintain AI-powered applications and intelligent agent solutions.
• Build and enhance LLM-based applications and Agentic AI workflows.
• Integrate AI solutions with databases, APIs, and enterprise systems.
• Collaborate with engineering and product teams to design scalable AI solutions.
• Troubleshoot, optimize, and improve application performance.
• Participate in code reviews and technical discussions.
• Stay updated with emerging AI technologies and best practices.

Skills

Python

Java

MongoDB

LLMs

Agentic AI

REST APIs

Git/GitHub

Education

Bachelor's degree

Tools

LangChain

LangGraph

CrewAI

AutoGen

OpenAI

Job description

Overview

We are seeking a motivated Junior AI Engineer to join our team in Austin, TX. The ideal candidate will have experience in Python, Java, MongoDB, Large Language Models (LLMs), and Agentic AI. This role offers the opportunity to work on innovative AI solutions, intelligent agent systems, and enterprise AI applications.

The candidate must possess strong problem-solving skills and be comfortable working in a collaborative, fast-paced environment.

Responsibilities

• Develop and maintain AI-powered applications and intelligent agent solutions
• Build and enhance LLM-based applications and Agentic AI workflows
• Integrate AI solutions with databases, APIs, and enterprise systems
• Collaborate with engineering and product teams to design scalable AI solutions
• Troubleshoot, optimize, and improve application performance
• Participate in code reviews and technical discussions
• Stay updated with emerging AI technologies and best practices

Qualifications

• 1–3 years of experience in Software Development, AI Engineering, or a related field
• Strong programming skills in Python and Java
• Experience working with MongoDB
• Knowledge of Large Language Models (LLMs) and prompt engineering
• Experience with Agentic AI, AI Agents, Multi-Agent Systems, or AI automation frameworks
• Strong analytical and problem-solving skills
• Experience with REST APIs and software development best practices
• Familiarity with Git/GitHub

Preferred Qualifications

• Experience with LangChain, LangGraph, CrewAI, AutoGen, OpenAI, or similar AI frameworks
• Knowledge of RAG (Retrieval-Augmented Generation) and Vector Databases
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Understanding of machine learning concepts and AI model deployment

Education

• Bachelor\'s degree in Computer Science, Artificial Intelligence, Information Technology, or a related field

Additional Requirements

• W2 candidates only
• Must be able to attend an in-person interview in Austin, TX
• Strong communication and problem-solving skills are required