Live opening · Posted 8 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
About Dailoqa:
Dailoqa is an agentic AI-native engineering company that combines advanced AI capabilities with deep financial services expertise to build commercially grounded solutions. The team brings together global financial services leaders, seasoned AI engineers, and academic researchers to address complex enterprise challenges. Dailoqa focuses on driving revenue growth through smarter customer acquisition and retention, improving cost efficiency via workforce productivity, and turning regulatory compliance into a competitive advantage through predictive risk and compliance intelligence. The company prioritizes solving real business problems over pushing technology for its own sake and co-develops solutions with embedded compliance and explainability. These solutions are scaled in the model that best fits each client, whether in-house build, co-development, or deployment on the Broccoli™ Agentic AI platform.
Required Skillset:
8 to 12 years overall, with at least 3 years managing engineering team of 8+members
Strong system design: can drive high-level and low-level design, reason through trade-offs (scale, reliability, security, cost) and challenge the team’s technical decisions
Hands-on background in Python or Java backend and distributed systems
Working understanding of LLM-based systems (agents, RAG, evals) to guide design choices on Broccoli
Exposure to cloud deployments (GCP or AWS), CI/CD and production support
Strong delivery track record on product or platform teams, ideally with BFSI clients
Experience with hiring, performance reviews and mentoring
Comfortable working directly with client stakeholders
Work arrangement
Hybrid
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