Senior Python Software Engineer - AI Solutions
About the Role
We are seeking a Senior Python Software Engineer to join our dynamic team remotely. This role focuses on developing scalable AI solutions while allowing you to pivot into architectural design or data analysis as needed. As a Senior Python Software Engineer remote, you will take ownership of projects and ensure they progress beyond the "Proof of Concept" stage.
What You'll Do
- Extreme Ownership: Treat our AI ecosystem as your own, owning the end-to-end delivery and architecture.
- Proactively Build and Evolve: Design, code, and deploy Python-based microservices in a cloud environment.
- Measure Data-Driven Impact: Define and monitor metrics to ensure our solutions enhance workflows.
- Debug & Troubleshoot: Dive deep to debug complex issues across microservices and distributed architectures.
- Adapt and Overcome: Jump into unknown territories when the product demands it, whether it's platform engineering or data engineering tasks.
Requirements
- 5+ years of professional experience in Software Engineering, focusing on building microservices.
- At least 3 years of hands-on Python expertise.
- Experience deploying microservices in AWS (or GCP/Azure).
- Comfortable with Kubernetes, IaC, and Serverless architectures.
- Deep understanding of CPython and ability to design asynchronous, threaded, or multi-process architectures.
Nice to Have
- Experience in DevOps and Kubernetes.
- Hands-on experience with SQL and NoSQL databases.
- Familiarity with NLP/LLM techniques.
What We Offer
- Challenging projects and a chance to join a growing startup.
- Multiple professional development opportunities.
- Excellent work environment with motivated and talented professionals.
- Remote work flexibility.
This Senior Python Software Engineer role offers a unique opportunity to work on cutting-edge AI solutions in a dynamic remote environment. With a competitive salary and a focus on professional development, it's an attractive position for experienced engineers.
Who Will Succeed Here
Proficient in Python and familiar with frameworks like Flask or Django for developing scalable AI solutions, with hands-on experience in deploying applications using AWS services such as Lambda and S3.
Strong expertise in container orchestration using Kubernetes and Docker, demonstrating the ability to manage microservices architecture and optimize deployment pipelines in a remote work environment.
A mindset geared towards continuous learning and adaptation in machine learning and NLP, with a proven track record of transitioning projects from concept to production, showcasing a balance of technical depth and strategic thinking.
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