At a Glance
- Tasks: Build AI-driven video production systems and integrate cutting-edge technologies.
- Company: Join VidRush, an innovative AI-native video platform transforming content creation.
- Benefits: Competitive salary, flexible work environment, and opportunities for rapid career growth.
- Other info: Work in a small, high-trust team focused on fast iteration and impactful results.
- Why this job: Be part of a revolutionary team shaping the future of video creation with AI.
- Qualifications: Strong Python skills and experience with AI/ML systems in production.
The predicted salary is between 60000 - 80000 ÂŁ per year.
VidRush is an AI-native video production platform that replaces an entire video team with coordinated AI agents. Creators turn a simple idea into a fully produced, long-form video—research, script, voiceover, visuals, motion graphics, and rendering—in under an hour. No timelines. No editing headaches. Just intent → finished video.
We’re building a new way to create video that feels more like writing than editing, and we’re already seeing strong traction from serious creators and media teams. If you’re excited about AI, creator tools, and building category-defining products from first principles, you’ll fit right in.
We’re hiring a Senior Python Backend Engineer (AI Agents) to help build and scale Vidrush’s AI-driven media pipeline. Vidrush is building an agentic pipeline that can turn a prompt into a full video production workflow — including script generation, voiceover, footage selection, and assembly — and we are scaling the backend team quickly to accelerate execution.
This role is fundamentally about shipping and ownership. We’re not looking for a “perfect on paper” engineer who optimizes for theoretical correctness or academic knowledge. We want someone who can take ambiguous problems, move fast, and reliably deliver tangible progress without needing to be managed.
What You’ll Do
- Build agentic systems that can reason, plan, and execute multi-step tasks reliably
- Design and deploy LLM-based services (tool use, structured outputs, evals, monitoring)
- Develop video/image intelligence pipelines (retrieval, matching, classification, metadata extraction, generative augmentation)
- Integrate existing APIs and tools when appropriate (strong build-vs-buy judgment)
- Ship scalable inference pipelines on cloud infrastructure
- Apply MLOps / LLMOps best practices: observability, testing, evals, versioning, cost control
- Work closely with founders and product to iterate quickly based on user feedback
What We’re Looking For
- Strong Python engineering skills and proven ability to ship production systems
- Experience building with LLMs (OpenAI-style APIs, tool calling, RAG, structured generation)
- Experience deploying ML/LLM services in production (cloud, containers, serverless, async pipelines)
- Practical understanding of video/image processing (CV or media pipelines)
- High autonomy: you can take vague problems and turn them into shipped solutions
- Strong engineering fundamentals: clean code, reliability, performance, and cost awareness
Nice to Have
- Agent orchestration frameworks (LangGraph, LangChain, AutoGen, CrewAI, etc.)
- Experience with vector search / embeddings / retrieval systems
- Experience with workflow orchestration (queues, batch jobs, event-driven systems)
- Experience with PyTorch and GPU inference optimization
- Experience working on media-heavy products (video editing, video generation, large file pipelines)
How We Work
- Small team, high trust, high ownership
- Bias to action and shipping
- Lightweight specs, fast iteration
- Strong focus on developer experience, testing where it matters, and observability
Location preference: Turkey
Senior Python Backend Engineer (AI / Agents) employer: Vidrush Ai Studios Llp
Contact Detail:
Vidrush Ai Studios Llp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Backend Engineer (AI / Agents)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Python projects, especially those related to AI and video processing. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. But don’t forget to brush up on your soft skills too—communication and teamwork are key in a small, high-trust environment like VidRush.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the VidRush team and its exciting journey in AI-driven media production.
We think you need these skills to ace Senior Python Backend Engineer (AI / Agents)
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and creator tools shine through. We want to see that you’re genuinely excited about building innovative products that change the game!
Be Clear and Concise: Keep your application straightforward and to the point. Highlight your relevant experience and skills without fluff. We appreciate clarity and want to quickly understand how you can contribute to our team.
Tailor Your Application: Make sure to customise your application for the Senior Python Backend Engineer role. Mention specific projects or experiences that align with what we’re looking for, especially around LLMs and video processing.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Vidrush Ai Studios Llp
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around production systems. Be ready to discuss your past projects and how you've tackled real-world problems using Python. They want someone who can ship code, so be prepared to showcase your experience with LLMs and any relevant frameworks.
✨Showcase Your Problem-Solving Skills
Since the role involves taking ambiguous problems and turning them into solutions, think of examples from your past work where you've done just that. Prepare to explain your thought process and how you approached challenges, especially in AI or media-heavy products.
✨Familiarise Yourself with Their Tech Stack
Get to know the tools and technologies mentioned in the job description, like cloud infrastructure, MLOps best practices, and video/image processing. Being able to discuss these topics confidently will show that you're genuinely interested in the role and understand their needs.
✨Emphasise Your Autonomy and Ownership
VidRush values high autonomy and ownership, so be ready to share experiences where you've taken initiative and delivered results without much oversight. Highlight your ability to iterate quickly based on feedback and how you prioritise shipping over perfection.