Software Development Engineer 2

Pocket FM Corp.; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Pocket FM is building an AI-powered video storytelling platform and seeks a Senior Backend Engineer to craft scalable APIs and AI-driven backend systems. You will work on distributed services, cloud-native infrastructure, and end-to-end data pipelines to support GenAI features.

Join a fast-moving, creator-first team that values ownership, rigorous code quality, and strong collaboration with AI/ML engineers to deploy reliable, high-performance backend solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
• 3–5 years of backend software engineering experience.
• Strong programming in Python or Go.
• Experience building APIs, backend services, and microservices.
• Familiarity with FastAPI, Flask, Gin, or Echo.
• Good REST API knowledge; exposure to gRPC or GraphQL is a plus.
• Experience with SQL databases (MySQL/PostgreSQL), NoSQL databases (MongoDB/Cassandra/Scylla), and Redis.
• Interest or experience working with AI systems, LLMs, and backend infrastructure.
• Strong problem-solving ability and ownership mindset.

Responsibilities

• Develop and maintain backend services, APIs, and microservices using Python or Go.
• Build AI-powered backend systems supporting LLMs across speech, text, image, and video generation.
• Design scalable backend components that power AI features in production.
• Participate in architecture discussions, code reviews, documentation, CI/CD, and mentor junior engineers.
• Drive engineering best practices, code quality, testing, and maintainability.
• Improve performance, reliability, scalability, and security of backend services.
• Integrate backend services with cloud infrastructure, databases, caching, and storage systems.
• Collaborate with AI/ML engineers to integrate LLM APIs and support large-scale inference workflows.
• Write clean, maintainable, well-tested production code.
• Define and monitor GenAI metrics such as latency, token consumption, hallucination rates, and retrieval quality.

Skills

Python

Go

Backend APIs

REST APIs

SQL databases

NoSQL databases

Redis

Cloud platforms

CI/CD

Docker

Distributed systems

LLMs

Education

Bachelor's or Master's in CS/SE

Tools

FastAPI

Flask

Gin/Echo

gRPC

GraphQL

MySQL

PostgreSQL

MongoDB

Redis

Docker

Job description

At Pocket FM, we’re an AI-powered entertainment company using technology to help creators build and scale stories globally. We have 250M+ listeners, 550K+ creators, and 770K+ original stories, with 105B+ minutes streamed annually. Our stories have also grown into major entertainment franchises, including 96 million-dollar and 13 ten-million-dollar titles.

Introducing Pocket Saga – The Future of AI-Powered Video Storytelling

As the next chapter of our journey, we're building Pocket Saga, Pocket Entertainment's AI-powered video entertainment platform.

Pocket Saga is transforming how stories become videos by enabling creators to convert written stories into high-quality vertical video using AI. Today, the platform features 100+ anime and live-action titles across fantasy, romance, drama, and more, and has been growing at nearly 100% month-on-month.

Our vision is simple: every great storyteller should be able to create compelling video content, without needing an entire production studio.

To achieve this, we're building a creator-first AI platform that makes vertical movie-making simple, scalable, and accessible while maintaining high creative quality.

What We're Building

We're developing the next generation of AI-native entertainment infrastructure, including:

• An end-to-end platform for transforming stories into vertical video.
• AI-powered workflows for generating and maintaining consistent characters, worlds, scenes, and story continuity.
• Intelligent tools that assist creators with emotionally engaging storytelling.
• Large-scale backend systems that power AI-driven image, video, and voice generation.
• Cost-efficient AI inference infrastructure capable of serving hundreds of thousands of creators.
• The next generation of AI-native entertainment production.

This is far more than an AI video tool. We're building an entirely new entertainment production pipeline that connects millions of original stories with audiences around the world through AI-assisted content creation.

We operate at a massive global scale while maintaining a startup mindset—curious, fast-moving, and deeply owner-driven. At Pocket FM, engineers are encouraged to think boldly, solve challenging technical problems, and build products that redefine the future of storytelling.

Role Overview

We're looking for a Senior Backend Engineer to join our AI/ML Platform Team, building the backend infrastructure that powers AI-driven content creation across text, speech, image, and video generation.

You'll work on highly scalable backend systems, distributed services, AI orchestration, and cloud-native infrastructure that support next-generation AI-powered entertainment experiences.

Key Responsibilities

• Develop and maintain backend services, APIs, and microservices using Python or Go.
• Build AI-powered backend systems supporting LLMs across speech, text, image, and video generation.
• Design scalable backend components that power AI features in production.
• Participate in architecture discussions, code reviews, documentation, CI/CD, and mentor junior engineers.
• Drive engineering best practices, code quality, testing, and maintainability.
• Improve performance, reliability, scalability, and security of backend services.
• Integrate backend services with cloud infrastructure, databases, caching, and storage systems.
• Collaborate with AI/ML engineers to integrate LLM APIs and support large-scale inference workflows.
• Write clean, maintainable, well-tested production code.
• Define and monitor GenAI metrics such as latency, token consumption, hallucination rates, and retrieval quality.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 3–5 years of backend software engineering experience.
• Strong programming skills in Python or Go.
• Experience building APIs, backend services, and microservices.
• Familiarity with backend frameworks such as FastAPI, Flask, Gin, or Echo.
• Good understanding of REST APIs; exposure to gRPC or GraphQL is a plus.
• Experience with SQL databases (MySQL/PostgreSQL), NoSQL databases (MongoDB/Cassandra/Scylla), and Redis.
• Interest or experience working with AI systems, LLMs, and backend infrastructure.
• Strong problem-solving ability and ownership mindset.

Nice-to-Have Skills

• Experience working with vision language models (VLMs) for visual intelligence tasks
• Experience with vector databases such as Pinecone, FAISS, or Weaviate.
• Hands-on experience with OpenAI, Anthropic, Gemini, or similar LLM APIs.
• Docker and containerization experience.
• Cloud experience on AWS, GCP, or Azure.
• Familiarity with CI/CD pipelines and observability tools such as Prometheus, Grafana, or Datadog.
• Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Hands-on experience with RAG pipelines, vector search, agentic AI systems, and LLM orchestration.
• Strong understanding of distributed systems, caching, observability, and cloud-native architectures.

You can get more updates, engineering insights, and everything happening behind the scenes at Pocket FM here: https://xtra.pocketfm.com/