Website:
dailoqa.com
Job details:
Company Description Dailoqa is an agentic AI-native engineering company that blends deep financial services expertise with advanced AI engineering to solve complex business challenges. The team includes global financial services leaders, AI engineers, and academic researchers, ensuring solutions are both innovative and commercially viable. Dailoqa focuses on driving revenue growth through smarter customer acquisition and retention, improving cost efficiency with enhanced workforce productivity, and turning regulatory compliance into a strategic advantage via predictive risk and compliance intelligence. The company prioritizes business problems over technology choices and co-develops solutions with compliance and explainability built in. These solutions are delivered through flexible engagement models, including in-house builds, co-development, or deployment on the proprietary Broccoli™ Agentic AI platform.
Required Skillset:
- 4 to 7 years, currently leading a small team or a module
- Strong system design: solid low-level design, and can own high-level design for their module or service, with clear reasoning on trade-offs
- Strong Python backend (FastAPI or Django), APIs and microservices
- Working experience with LLM applications: agent frameworks like LangGraph, RAG, tool calling, evals
- Solid on Postgres, queues/async processing, Docker and Kubernetes
- Owns code quality: reviews, testing, observability
- BFSI or enterprise integration experience is a plus
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