23 часа назад
Director, Software Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Software Engineering (AI): Leading the architecture and delivery of cloud-native testing platforms with an accent on backend services, agentic AI capabilities, and end-to-end product experiences. Focus on building production-grade LLM applications, scaling distributed systems, and driving AI-powered engineering productivity across high-performing teams.
Location: Bangalore, India
Company
creates enterprise automation software and develops AI-powered solutions for intelligent, autonomous testing.
What you will do
- Define and execute the engineering vision and architectural direction across backend, frontend, and AI systems.
- Lead development of production-grade AI applications using LLMs, agents, tool-calling frameworks, and workflow orchestration.
- Establish engineering standards for AI-native product development, including evaluation, regression testing, observability, and human-in-the-loop workflows.
- Build, mentor, and scale high-performing engineering teams across multiple product areas.
- Oversee complex cross-functional initiatives and align technology investments with Product, Design, Data Science, and business stakeholders.
- Drive CI/CD, reliability engineering, cloud-native architecture, technical risk management, and platform scalability.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent practical experience.
- 15+ years of software engineering experience, including 8+ years leading engineering teams and large-scale technical programs.
- Experience building and scaling enterprise-grade distributed systems and cloud-native platforms.
- Strong expertise in Python, C#, Java, JavaScript, or another modern programming language, together with system design, architecture, distributed computing, concurrency, and scalability.
- Hands-on experience developing production AI systems with LLMs, agents, orchestration frameworks, and evaluation methodologies.
- Experience with React, TypeScript, Azure, AWS or GCP, Docker, Kubernetes, microservices, and modern DevOps practices.
Nice to have
- Experience in healthcare technology, financial technology, procurement technology, or enterprise SaaS.
- Experience with RAG, vector databases, retrieval systems, and citation-grounded AI workflows.
- Knowledge of applied machine learning, evaluation-driven AI systems, and quality measurement frameworks.
- Familiarity with Snowflake, data warehouses, analytical ecosystems, or globally distributed engineering organizations.
Culture & Benefits
- Work in a fast-moving environment focused on automation, innovation, ownership, accountability, and customer impact.
- supports diversity, inclusion, equal opportunity, and reasonable accommodations.
- Work arrangements vary by team and business needs across hybrid, office-based, and remote models; this role is associated with Bangalore.
- Applications are reviewed on a rolling basis, with no fixed deadline.
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