Junior AI Systems Engineer – Python & ML

Junior AI Systems Engineer jobs are rare gems, yet you are reading one right now. Within the first sprint, you will touch production-grade Python, TensorFlow, and scalable microservices—skills every entry-level AI engineer craves. Expect mentorship, code reviews, and real impact on models that ship to thousands of users.  

What You’ll Do  

- Design, prototype, and refine AI system components in Python.  

- Train, fine-tune, and evaluate models with TensorFlow or PyTorch, selecting the best fit per use case.  

- Craft resilient data pipelines—batch and streaming—to feed models with clean, labeled data.  

- Debug tricky integration issues across APIs, containers, and GPUs… chasing latent race conditions before they bite.  

- Document architecture decisions—why a transformer here, a graph network there—so teammates follow your logic.  

- Benchmark latency, memory, and throughput, then optimize for lightning-fast inference.  

- Pair-program during weekly swarm sessions, share discoveries, and challenge assumptions.  

- Support automated CI/CD, monitoring, and graceful rollbacks to keep services reliable.  

- Contribute to post-mortems and propose preventive safeguards—because learning never stops.  

Technical Stack You’ll Touch  

- Python 3.11, Poetry, FastAPI.  

- TensorFlow 2.x, PyTorch 2.x, Hugging Face Transformers.  

- Docker, Kubernetes, Helm, Argo CD.  

- PostgreSQL, Redis, Kafka, S3, Snowflake.  

- GitHub Actions, Prometheus, Grafana, Sentry.  

What Makes You a Match  

- Bachelor’s in Computer Science, Data Science, or related field.  

- 0–2 years of hands-on experience building ML projects (class, internship, open source all count).  

- Solid grasp of algorithms, probability, and linear algebra.  

- Comfort writing unit tests and reading stack traces.  

- Familiarity with cloud computing (AWS, GCP, or Azure).  

- Clear, concise communicator who enjoys collaborative code reviews.  

- Curiosity that pushes you to read papers and replicate results.  

Why You’ll Thrive Here  

- Remote-first culture—work anywhere in the United States.  

- Dedicated mentor and quarterly learning budget.  

- Greenfield projects in healthcare, fintech, and gaming; choose what excites you.  

- Inclusive, feedback-rich environment that values every idea, no matter how junior.  

Ready to turn theory into production? Apply today and start shipping intelligent systems tomorrow!