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
- Robust 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