Related skills
python kubernetes ai spark ml📋 Description
- Design and build backend systems to scale AI solutions.
- Contribute to agentic architecture to support AI agents.
- Build tools to tune LLM features, deploy agents, MCP and RAG in production.
- Develop scalable data pipelines and APIs for AI systems.
- Foster ownership, experimentation, and customer-first thinking.
🎯 Requirements
- 5+ years of experience as a backend software engineer, building scalable, distributed systems.
- Strong production experience with ML/AI projects.
- Hands-on experience with generative AI and agentic AI applications in production.
- Proficient in Python (or similar).
- Comfortable collaborating with cross-functional technical partners.
- Curious, proactive, and eager to learn.
🎁 Benefits
- Big data tools like Spark and Ray.
- Cloud infrastructure experience: AWS, Terraform, Kubernetes.
- ML frameworks: Hugging Face, PyTorch, TensorFlow, Keras.
- Generous benefits and supportive culture.
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