IXG Inc
https://ixg.techAbout
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Video Engineer – Software Engineering and Media Processing @IXG Inc.
Location: Bangalore
About the Role
IXG is building the future of cloud-native, GPU-powered remote video production and
media transport. We’re looking for a Video Engineer with deep expertise in C/C++ / Rust,
GStreamer, and FFmpeg to help architect the next-gen media stack — designed for realtime streaming, low-latency workflows, and automated broadcast delivery.
What You'll Work On
• Design and optimize video/audio pipelines using GStreamer and FFmpeg
• Integrate modern streaming protocols: SRT, NDI, RIST, RTMP
• Work with codecs and containers: H.264, H.265, AAC, Opus, MPEG-TS, MP4, and
others
• Troubleshoot latency, sync, buffer, and transport issues in live or automated media
environments
• Collaborate with backend and edge software teams to deliver high-performance,
distributed video systems
• Stay ahead of the curve on broadcast and streaming technologies
What We’re Looking For
• 3-5 years of experience in Software Engineering & Media Processing
• Proficiency in C and C++ or Rust, with experience building performance-critical
applications
• Strong experience working with GStreamer and FFmpeg in production
• Deep understanding of video/audio codecs, mux/demux, and streaming containers
• Hands-on experience with SRT, NDI, RIST, RTMP, or similar protocols
• Knowledge of media sync, buffering, and low-latency optimization techniques
• Comfortable working in Linux environments, debugging across layers
Bonus If You Have
• Experience with WebRTC or ultra-low latency video delivery
• Worked on GPU-based encoding/decoding (e.g., NVIDIA NVENC, Intel QuickSync)
• Familiarity with SMPTE standards, SDI workflows, or AES67 audio
• Exposure to cloud-based video processing stacks (e.g., AWS Media Services)
Why Work With IXG
We’re not retrofitting old tech for new workflows — we’re reimagining media infrastructure from the ground up, combining GPU-accelerated encoders, edge
hardware, and smart cloud transport.
Join us to help media teams go remote, at scale,
without compromising on quality or latency.
• Work from Bangalore
• Be part of a high-agency, technically deep team
• Contribute to real-world deployments powering sports, news, and esports coverage
Sound like your kind of gig?
Apply now
#Hiring #VideoEngineer #GStreamer #FFmpeg #Cplusplus #StreamingTech
#BroadcastEngineering #LowLatencyVideo #IXG
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
MongoDB
PostgreSQLAI-Native Software Developer Intern
Build real AI agents used daily across the company
We’re looking for a high-agency, AI-native software developer intern to help us build internal AI agents that improve productivity across our entire company (80–100 people using them daily).
You will ship real systems, used by real teams, with real impact.
If you’ve never built anything outside coursework, this role is probably not a fit.
What You’ll Work On
You will work directly on designing, building, deploying, and iterating AI agents that power internal workflows.
Examples of problems you may tackle:
Internal AI agents for:
- Knowledge retrieval across Notion / docs / Slack
- Automated report generation
- Customer support assistance
- Process automation (ops, hiring, onboarding, etc.)
- Decision-support copilots
- Prompt engineering + structured outputs + tool-using agents
Building workflows using:
- LLM APIs
- Vector databases
- Agent frameworks
- Internal dashboards
- Improving reliability, latency, cost, and usability of AI systems
- Designing real UX around AI tools (not just scripts)
You will own features end-to-end:
- Problem understanding
- Solution design
- Implementation
- Testing
- Deployment
- Iteration based on user feedback
What We Expect From You
You must:
- Be AI-native: you actively use tools like:
- ChatGPT / Claude / Cursor / Copilot
- AI for debugging, scaffolding, refactoring
- Prompt iteration
- Rapid prototyping
- Be comfortable with at least one programming language (Python, TypeScript, JS, etc.)
- Have strong critical thinking
- You question requirements
- You think about edge cases
- You optimize systems, not just make them “work”
- Be high agency
- You don’t wait for step-by-step instructions
- You proactively propose solutions
- You take ownership of outcomes
- Be able to learn fast on the job
Help will be provided but you will not be spoonfed.
Absolute Requirement (Non-Negotiable)
If you have not built any side projects with a visible output, you will most likely be rejected.
We expect at least one of:
- A deployed web app
- A GitHub repo with meaningful commits
- A working AI tool
- A live demo link
- A product you built and shipped
- An agent, automation, bot, or workflow you created
Bonus Points (Strong Signals)
These are not required but will strongly differentiate you:
- Built projects using:
- LLM APIs (OpenAI, Anthropic, etc.)
- LangChain / LlamaIndex / custom agent frameworks
- Vector DBs like Pinecone, Weaviate, FAISS
- RAG systems
- Experience deploying:
- Vercel, Fly.io, Render, AWS, etc.
- Built internal tools for a team before
- Strong product intuition (you care about UX, not just code)
- Experience automating your own workflows using scripts or AI
What You’ll Gain
You will get:
- Real experience building AI agents used daily
- Ownership over production systems
- Deep exposure to:
- AI architecture
- Product thinking
- Iterative engineering
- Tradeoffs (cost vs latency vs accuracy)
- A portfolio that actually means something in 2026
- A strong shot at long-term roles based on performance
If you perform well, you won’t leave with a certificate, you'll leave with real-world building experience.
Who This Is Perfect For
- People who already build things for fun
- People who automate their own life with scripts/tools
- People who learn by shipping
- People who prefer responsibility over structure
- People who are excited by ambiguity
Who This Is Not For
Be honest with yourself:
- If you need step-by-step instructions
- If you avoid open-ended problems
- If you’ve never built anything outside assignments
- If you dislike using AI tools while coding
This will be frustrating for you.
How To Apply
Send:
- Your GitHub
- Links to projects (deployed preferred)
- A short note explaining:
- What you built
- Why you built it
- What you’d improve if you had more time
Strong portfolios beat strong resumes.
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