AI Application Developer (Backend Focus)
The role offers an opportunity to work on real-world AI products, scalable backend systems, and intelligent workflows while learning from experienced engineers in a fast-paced fintech environment.
Key Responsibilities
- Build and maintain backend services, APIs, and scalable application components.
- Write clean, efficient, maintainable, and scalable production-grade code.
- Develop and support microservices and backend workflows.
- Integrate LLM APIs such as OpenAI, Anthropic, or similar AI services into applications.
- Assist in building and improving AI workflows, automation pipelines, and lightweight AI agents.
- Work with databases, caching layers, and third-party APIs to support backend services.
- Debug production issues and improve backend performance, reliability, and scalability.
- Use AI-assisted coding tools such as Cursor, GitHub Copilot, and similar platforms to improve development
efficiency.
- Collaborate with senior engineers and participate in code reviews, architecture discussions, and best
engineering practices.
- Continuously learn and experiment with emerging AI and backend technologies.
Minimum Qualifications
- 1–3 years of software development experience.
- Strong coding, debugging, and problem-solving skills.
- Proficiency in Python or Java.
- Strong understanding of REST APIs and backend development fundamentals.
- Basic understanding of microservices architecture and distributed systems concepts.
- Familiarity with SQL databases such as MySQL or PostgreSQL.
- Basic understanding of Large Language Models (LLMs) and how AI APIs work.
- High-level understanding of AI agents, workflows, and automation concepts.
- Exposure to AI coding tools such as Cursor, GitHub Copilot, or similar tools.
- Strong willingness to learn, experiment, and grow in AI and backend engineering domains.
Preferred Qualifications
- Understanding of asynchronous processing, queues, and event-driven systems.
- Contributions to GitHub projects, side projects, internships, or open-source initiatives.
- Experience using AI coding tools regularly in development workflows.
- Participation in coding contests or strong data structures and algorithms fundamentals.
- Familiarity with cloud platforms, deployment workflows, or containerized applications is a plus.
