4 FFmpeg Jobs in Bangalore (Bengaluru) | FFmpeg Job openings in Bangalore (Bengaluru)
Apply to 4+ FFmpeg Jobs in Bangalore (Bengaluru) on CutShort.io. Explore the latest FFmpeg Job opportunities across top companies like Google, Amazon & Adobe.
Bengaluru (Bangalore) · 4 - 8 years · ₹40L - ₹50L / yr · Posted 7 Oct 2026
Fifteen professional sports teams use our product every day. You would be the engineer who owns it.
Pixology is an AI-native platform for the sponsorship economy. Sports teams use us to turn their sponsorship inventory and a brand's objectives into visual concepts, tailored pitches and the films that win deals. Work that used to take a designer two weeks now takes hours.
We are live with fifteen teams across nine leagues, including clubs in the NFL, MLB, NBA, NHL and MLS. Three founders, out of MIT. You would be our first engineering hire in India.
THE HONEST VERSION OF THIS JOB
Our CTO built this platform largely with AI coding tools. It works. Real customers, real usage, real revenue. It also has the shape you would expect from that: patterns that differ between files, test coverage that is thin in places, and decisions nobody wrote down.
You are not joining to maintain somebody's tidy codebase. You are joining to take ownership of a working product that needs a proper engineer's hands on it, and then to build the next two years of it.
If that reads as a problem, this is not your role. If you have inherited a system before and found the archaeology satisfying, keep reading.
WHAT YOU WILL OWN
The whole stack. Frontend, backend services, database, API integrations. There is nobody else to hand a ticket to.
Applied AI. Generative models that turn sponsorship inventory and brand context into visual concepts and pitch material. Production AI, not a demo.
Evaluation infrastructure. Harnesses and regression tests that let us compare models, validate prompt changes, and track output quality, latency and inference cost. This barely exists today and it matters more every month.
The media pipeline. Timeline-based video editing. Clip trimming and sequencing, transitions, audio synchronisation, rendering and export. Genuinely hard engineering, and the part customers notice most.
Shipping. Design, build, test, deploy. Customer bugs come to you.
WHAT WE ARE LOOKING FOR
Around five years building production software, with real ownership of something live.
Strong across the stack, with a view on where logic belongs rather than just the ability to write both halves.
You have inherited a codebase you did not write and made it better without rewriting it.
Working knowledge of LLM APIs and the practical tradeoffs: cost, latency, reliability, evaluation.
You debug well. Given an unfamiliar system and a failing case, you find the cause rather than the symptom.
Nice to have: media processing (FFmpeg, rendering pipelines), computer vision, evaluation tooling, early-stage experience, any interest in sport.
COMPENSATION AND SETUP
40 to 50 LPA, all cash. No equity, and we would rather say so now than in your third interview. We have taken the view that we would rather pay you properly today than hand you a number on a slide that may be worth nothing in four years.
Hybrid. At least one day a week together in our Basavanagudi office, the rest is yours. If you live in South Bengaluru, you never touch the Outer Ring Road.
HOW TO APPLY
No CV screen. Answer these two questions and we will read every one.
- Describe a codebase you inherited that you did not respect. What did you change first, and what did you deliberately leave alone?
- Tell us about a production bug where the cause was not where you first looked. How did you find it?
Bengaluru (Bangalore) · 3 - 5 years · ₹20L - ₹45L / yr · Posted 29 Oct 2025
Who we are: My AI Client is building the foundational platform for the "agentic economy," moving beyond simple chatbots to create an ecosystem for autonomous AI agents and they aim to provide tools for developers to launch, manage, and monetize AI agents as "digital coworkers."
The Challenge
The current AI stack is fragmented, leading to issues with multimodal data, silent webhook failures, unpredictable token usage, and nascent agent-to-agent collaboration. My AI Client is building a unified, robust backend to resolve these issues for the developer community.
Your Mission
As a foundational member of the backend team, you will architect core systems, focusing on:
- Agent Nervous System: Designing agent-to-agent messaging, lifecycle management, and high-concurrency, low-latency communication.
- Multimodal Chaos Taming: Engineering systems to process and understand real-time images, audio, video, and text.
- Bulletproof Systems: Developing secure, observable webhook systems with robust billing, metering, and real-time payment pipelines.
What You'll Bring
- My AI Client seeks an experienced engineer comfortable with complex systems and ambiguity.
Core Experience:
● Typically 3 to 5 years of experience in backend engineering roles.
● Expertise in Python, especially with async frameworks like FastAPI.
● Strong command of Docker and cloud deployment (AWS, Cloud Run, or similar).
● Proven experience designing and building microservice or agent-based architectures.
Specialized Experience (Ideal):
- Real-Time Systems: Experience with real-time media transmission like WebRTC, WebSockets and ways to process them.
- Scalable Systems: Experience in building scalable, fault-tolerant systems with a strong understanding of observability, monitoring, and alerting best practices.
- Reliable Webhooks: Knowledge of scalable webhook infrastructure with retry logic, backoffs, and security.
- Data Processing: Experience with multimodal data (e.g., OCR, audio transcription, video chunking with FFmpeg/OpenCV).
- Payments & Metering: Familiarity with usage-based billing systems or token-based ledgers.
Your Impact
- The systems designed by this role will form the foundation for:
- Thousands of AI agents for major partners across chat, video, and APIs.
- A new creator economy enabling developers to earn revenue through agents.
- The overall speed, security, and scalability of my client’s AI platform.
Why Join Us?
- Opportunity to solve hard problems with clean, scalable code.
- Small, fast-paced team with high ownership and zero micromanagement.
- Belief in platform engineering as a craft and care for developer experience.
- Conviction that AI agents are the future, and a desire to build their powering platform.
- Dynamic, collaborative in-office work environment in Bengaluru in a Hybrid setup (weekly 2 days from office)
- Meaningful equity in a growing, well-backed company.
- Direct work with founders and engineers from top AI companies.
- A real voice in architectural and product decisions.
- Opportunity to solve cutting-edge problems with no legacy code.
Ready to Build the Future?
My AI Client is building the core platform for the next software paradigm. Interested candidates are encouraged to apply with their GitHub, resume, or anything that showcases their thinking.
Bengaluru (Bangalore) · 3 - 7 years · ₹10L - ₹15L / yr · Raised funding · Posted 18 Jan 2024
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)
You will be responsible for:
- Building Python scripts to deploy our AI components into pipeline and production
- Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
- Managing our daily pipeline on both on-premise servers and AWS
- Working closely with the AI engineering, backend and frontend teams
You should have the following qualities:
- Deep expertise in Python including:
- Multiprocessing / multithreaded applications
- Class-based inheritance and modules
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
- Optimal multithreading / multiprocessing strategies
- Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
- Experience in creating soft real-time processing tasks is a plus
- Expertise in Docker-based virtualization including:
- Creating & maintaining custom Docker images
- Deployment of Docker images on cloud and on-premise services
- Experience with maintaining cloud applications in AWS environments
- Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
- Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
- Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
- Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Ideally a gamer or someone interested in watching gaming content online
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 4 years to 8 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg.
Bengaluru (Bangalore) · 5 - 10 years · ₹8L - ₹14L / yr · Posted 9 Jul 2021
What you’ll do:
- Will have a unique and rewarding opportunity to shape and design an app with a huge impact on the Automotive industry
- Write highly scalable software in Swift ad Kotlin with a focus on reusability and efficiency
- Work with some of the best people in the industry to build and maintain compelling user experiences
- Working with iOS Frameworks such as AVFoundation/video streaming, CoreML
- Work with open-source multimedia projects, such as FFmpeg
What you’ll bring:
- 5+ years of iOS/Android development.
- Strong background in software engineering with large-scale apps
- Experience with iOS/Android SDKs
- Expert knowledge of XCode/AppCode IDE, build and distribution processes
- Experience writing multi-threaded/asynchronous code
- Creative and innovative problem-solving skills with a passion for new technologies
- Strong team player and ability to work without many directions when needed
Bonus points for:
- B.Sc./M.Sc. in Computer Science or related fields
- Knowledge of C/C++
- Background/experience in AI (e.g. deep learning, computer vision)
- Contributions to community software
Note: We are looking for immediate joiners. Selected/Offered candidates can ready to join within 15 to 30 days of time can apply.


