Description
AI Software Engineer (Remote)
Our client is seeking a highly motivated and skilled AI Software Engineer to join a fast-paced, agile team focused on applying the latest advancements in artificial intelligence to solve complex, real-world problems. This position is ideal for an experienced developer who thrives in innovative environments and wants to work at the forefront of AI technology within a mission-driven organization.
Location: Remote.
Engagement: Independent Contract
Important Notice: Successful candidates will be required to complete an in-person onboarding process. All expenses related to travel and accommodation for onboarding will be fully covered by our client.
Responsibilities
- Design, build, and maintain complex AI-driven software systems.
- Develop and optimize machine learning and NLP pipelines, with a focus on scalability and production readiness.
- Collaborate with team members to define requirements, perform software design, conduct peer reviews, and document solutions.
- Implement best practices including version control, unit testing, code reviews, and agile development cycles.
- Design and analyze experiments to validate model performance and enhance AI workflows.
Required Skills & Qualifications
- Strong Python skills, particularly for machine learning and NLP projects
- Good SQL skills for querying and analyzing data
- Basic C# skills – ability to read and understand existing .NET / .NET Core code and make minor adjustments if needed
- Experience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot)
- Understanding of API and Microservices concepts
- Ability to work independently and thrive in a small, agile team
Preferred Experience
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 5+ years of experience in software engineering, AI development, or ML engineering
- Cloud experience (Azure or AWS) is a plus
- Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Experience with ETL processes and end-to-end ML pipeline development
- Exposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficial
If you’re passionate about AI, Python, and NLP and want to contribute to impactful projects in a flexible, high-growth environment, we encourage you to apply.





