Website:
dailoqa.com
Job details:
Company Description
Dailoqa is an AI-native engineering company specializing in transforming financial services through advanced artificial intelligence. With a team of seasoned global financial services leaders, AI engineers, and academic researchers, we deliver innovative, commercially viable solutions. Our work enhances customer acquisition and retention, drives cost efficiency through workforce productivity, and simplifies regulatory compliance with predictive intelligence. By focusing on business needs first, Dailoqa co-develops scalable, custom solutions, including deployment on our proprietary Broccoli™ platform. Our unique approach ensures compliance, explainability, and tailored scalability for each client.
Experience: 4–8 years
Tech Stack: Python, FastAPI, SQL/NoSQL, Docker, CI/CD
Required Skills & Experience:
- 4–8 years of professional backend development experience in Python.
- 2+ years of production experience with FastAPI.
- Experience working with LLM and NLP : Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems.
- Strong understanding of REST API design, async I/O, and Pydantic.
- Experience with relational and/or NoSQL databases.
- Familiarity with containerization (Docker) and deployment best practices.
- Knowledge of Git, CI/CD tools, and testing frameworks like Pytest.
- Good problem-solving skills and team collaboration.
- Design and implement clean, modular, and extensible code using OOP and SOLID principles.
- Understanding of design patterns (e.g., Factory, Strategy, Singleton, Repository)
Preferred (Bonus) Skills:
- Experience with cloud platforms (AWS, Azure, GCP).
- Familiarity with message brokers (Kafka, RabbitMQ).
- Exposure to GraphQL or other modern API paradigms.
- Background in building microservices and event-driven architectures.
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