We’re looking for an early-career engineer to help design and build AI-powered software and modern production systems. You’ll work alongside experienced engineers to ship real features, experiment with AI-driven development workflows, and prototype new capabilities using the latest AI technologies.
If you think you are the right match for the following opportunity, apply after reading the complete description.
What You’ll Do
Build and deliver features across backend services, APIs, and AI-enabled workflows
Develop and integrate AI components such as retrieval pipelines, model APIs, and automation systems
Support model training, evaluation, and MLOps activities including testing, CI/CD, and monitoring
Integrate external AI tools and services using APIs, SDKs, and cloud platforms
Prototype proof-of-concept solutions to explore emerging AI capabilities
Use AI-assisted development tools (e.g., Claude, Copilot) to improve development efficiency and quality
Collaborate with engineering and business teams to translate complex or ambiguous problems into practical solutions
Help maintain reliable, secure data pipelines and production services
Research and evaluate new generative AI tools, models, and vendors
What We’re Looking For
Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field
1–3 years of experience in software engineering, ideally with exposure to AI or ML systems xsgimln
Strong Python programming skills and solid computer science fundamentals
Experience working with APIs, databases, and cloud platforms (AWS or GCP)
Familiarity with modern AI tooling and large language model ecosystems
Experience using Git in collaborative development environments
Exposure to MLOps practices, containerization, or infrastructure tooling
Familiarity with LLM concepts such as prompt engineering or retrieval-based systems