AI App Developer

mPokket Financial Services Private Limited; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

mPokket Financial Services Private Limited in Bengaluru is seeking an AI Application Developer (Backend Focus) to build and maintain backend services, APIs, and scalable components for real-world AI products in a fintech setting.

You will integrate AI APIs, work with microservices, databases, and messaging layers, and collaborate with senior engineers to drive performance and reliability.

Qualifications

• 1–3 years software development experience.
• Proficiency in Python or Java.
• 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.

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
• Collaborate with senior engineers and participate in code reviews, architecture discussions, and best
• Continuously learn and experiment with emerging AI and backend technologies.

Skills

Python/Java

REST APIs

Microservices

SQL Databases

LLMs & AI

AI Tools

Backend Performance

Problem Solving

Learning Mindset

Tools

Cursor

GitHub Copilot

Job description

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
• Collaborate with senior engineers and participate in code reviews, architecture discussions, and best
• 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.