AI Software Engineer

BrothersTech; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

BrothersTech is seeking an AI Software Engineer to design, develop, and deploy AI-powered software applications. You will integrate AI models into production systems, build REST APIs, and work with cloud platforms and modern AI frameworks.

Join a collaborative team of product managers, data scientists, and engineers to deliver scalable, secure solutions. The ideal candidate has 2–5 years of experience, strong Python skills, and a solid foundation in ML concepts.

Qualifications

• Bachelor's degree in a relevant field or equivalent practical experience.
• 2–5 years of software development experience.
• Experience building backend services, APIs, and production-ready apps.
• Understanding of ML concepts, model inference, and AI integration.
• Experience with Git, testing, debugging, and version control.
• Familiarity with SQL and databases.
• Knowledge of AWS/Azure/Google Cloud and cloud services.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, test, and maintain AI-powered software applications.
• Build and integrate AI/ML models into scalable software systems.
• Develop REST APIs and backend services using Python or similar languages.
• Work with LLMs, generative AI, and AI-powered automation solutions.
• Integrate AI services from OpenAI, Azure AI, or AWS AI services.
• Implement RAG, embeddings, and vector search where appropriate.
• Develop data processing pipelines for training, inference, and evaluation.
• Optimize application performance, scalability, reliability, and security.
• Collaborate with product managers, data scientists, ML engineers, and software teams.
• Write unit tests, conduct code reviews, troubleshoot issues, and document code.
• Deploy and monitor AI applications using cloud infrastructure and CI/CD pipelines.

Skills

Backend development

API design

CI/CD practices

Cloud platforms

AI/ML integration

Testing & debugging

SQL/databases

Git version control

Code reviews

Communication

Education

Bachelor's degree

Tools

Python

OpenAI API

Azure

AWS

Google Cloud

Git

Docker

CI/CD tools

Job description

We are seeking an AI Software Engineer to design, develop, and deploy software applications powered by artificial intelligence and machine learning. The ideal candidate will have strong software engineering fundamentals, experience integrating AI models into production applications, and proficiency in Python, APIs, cloud platforms, and modern AI frameworks.

Key Responsibilities

• Design, develop, test, and maintain AI-powered software applications.
• Build and integrate AI/ML models into scalable software systems.
• Develop REST APIs and backend services using Python or similar programming languages.
• Work with Large Language Models (LLMs), generative AI, and AI-powered automation solutions.
• Integrate AI services from providers such as OpenAI, Azure AI, or AWS AI services.
• Implement Retrieval-Augmented Generation (RAG), embeddings, and vector search where appropriate.
• Develop data processing pipelines for training, inference, and model evaluation.
• Optimize application performance, scalability, reliability, and security.
• Collaborate with product managers, data scientists, ML engineers, and software development teams.
• Write unit tests, conduct code reviews, troubleshoot issues, and maintain technical documentation.
• Deploy and monitor AI applications using cloud infrastructure and CI/CD pipelines.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• 2–5 years of software development experience.
• Experience developing backend services, APIs, and production-ready applications.
• Understanding of machine learning concepts, model inference, and AI integration.
• Experience with Git, software testing, debugging, and version control.
• Familiarity with SQL and databases.
• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Strong analytical, problem-solving, and communication skills.