Software Architect

Qualifications:

Must Have

• 12+ years of software engineering experience, with at least 1+ year in AI/Gen AI -focused roles
• Currently writing production code
• 3+ years of experience in solution, architecture and engineering, with a proven track record of inheriting and scaling engineering teams
• Deep hands-on experience with LLMs in production: RAG architectures, prompt engineering at scale, agentic tool-calling, evaluation and observability.
• Strong software engineering fundamentals: system design, API design, distributed systems,
• CI/CD, and production operations.
• Track record of personally architecting and shipping AI-powered features in a product company(not just overseeing others who did).
• Excellent hiring instincts: ability to source, evaluate, and close strong AI/ML talent in a
• competitive market.
• Strong cross-functional collaboration skills: experience partnering closely with Product, Design,and Data teams

Nice to Have

• Experience in automotive, ERP, or complex vertical SaaS domains with messy real-world data.
• Familiarity with cloud-native, microservices-based architectures at scale.
• Contributions to open-source AI/ML projects or published research in applied AI.
• Experience with ML platform/infra: model serving, feature stores, experiment tracking, A/B testing frameworks.
• Understanding of responsible AI practices: bias detection, hallucination mitigation, data privacy and auditability