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: tool-use, orchestration, state/memory, routing, and multi-step workflows
Define model strategy across prompting, retrieval (RAG), and fine-tuning—making tradeoffs using measurable quality, latency, safety, and cost
Standardize tool/context integrations across internal systems using MCP-based patterns (or equivalent approaches), enabling teams to ship faster on a shared foundation
Establish evaluation + observability standards (regression tests, monitoring, feedback loops)
Set technical direction via reference architectures, best practices, and hands-on technical guidance across teams
Partner closely with Product, Security/Privacy, and Engineering leaders to deliver high-impact features

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
Traditional ML cloud applications (training pipelines, deployment, monitoring, iteration)
LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models)
Experience with MCP or similar standardized patterns for connecting models to tools and context
Experience with deploying and maintaining AI Applications in production reliably, monitoring performance, and improving over time
Proficiency in Python/TypeScript/Java with strong engineering fundamentals (testing, code quality, performance, security)

Benefits

Annual cash bonuses
Stock grants
Comprehensive benefits package

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

cloud-native servicesGenAI architecturemachine learningmodel strategyretrieval-augmented generation (RAG)fine-tuningMCP-based patternsregression testsPythonTypeScript

Soft skills

technical directionhands-on technical guidancecollaborationcommunication

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Machine LearningMaster's degree in Data Science