AI App Developer

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

13 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.