Key skills
CloudDistributed SystemsJavaPythonTypeScriptAIMachine LearningMLGenAIRAGAgentic
About this role
Role Overview
- Architect and build scalable, secure cloud-native services and Agentic AI workflows that run in production
- Own the GenAI/ML architecture for production agentic systems
- Define model strategy across prompting, retrieval (RAG), and fine-tuning
- Standardize tool/context integrations across internal systems using MCP-based patterns
- Establish evaluation + observability standards
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience
- 8+ years building cloud-native software in production (distributed systems, APIs, data-intensive services, reliability and operations)
- 4+ years delivering AI/ML-powered system in production
- Experience with MCP or similar standardized patterns for connecting models to tools and context
- Proficiency in Python/TypeScript/Java with strong engineering fundamentals (testing, code quality, performance, security)
Tech Stack
- Cloud
- Distributed Systems
- Java
- Python
- TypeScript
Benefits
- Annual cash bonuses
- Stock grants
- Comprehensive benefits package