AI Software Engineer

Job Title: AI Software Engineer

Location: Remote – USA

Experience: 2–5 Years

Job Summary

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.
• Strong proficiency in Python, Java, JavaScript, or another modern programming language.
• 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.