AI Back End Engineer

Senior Backend Engineer - Backend and AI Inference platform

CTC - 50-60 LPA

About RenderNet

RenderNet is building the next generation of AI powered story telling tools which turbo charges the productivity for creatives across the globe.

About the role

As we scale RenderNet, we are looking for experienced systems engineers to build new products and scale our systems, platforms and processes. The role requires you to be ready to be in a fast iterative build cycle as well as keep an uncompromising watch on scalability and reliability of the platform. This role puts you right at the center of the action. If youre eager to make a real impact, seek a challenge that drives you forward, and want to head home each day feeling accomplished, this role is perfect for you.

Location

What youll do

• Design and build systems/platforms that power the inference across all the RenderNet products.
• Work closely with the product and the engineering teams to build new features, tools and systems
• Accelerate engineering productivity by empowering your fellow engineers with excellent tooling, processes and systems
• Ensure the reliability of the systems we create, including taking part in an oncall rotation to handle critical incidents when needed.

Required Skillsets

• Over 5 years of experience in engineering roles focused on building and scaling machine learning platforms, developing real-time systems, and a strong understanding of event-driven architectures.
• A background in building and deploying inference platforms in production will be considered a plus

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Get Hired
• Having worked with production MLOps, ML deployments and ML pipelines an added advantage
• Strong programming skills and ability to write structured, maintainable code
• Ability to rapidly prototype solutions and iterate with tight product deadlines

Youll thrive if you are

• A detail-oriented individual while keeping the bigger picture in mind
• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
• You love building good software abstractions, you care about code quality and writing maintainable code
• You are intensely resourceful and you can deeply about technology, your colleagues and end-users
• Have worked before in an fast paced early-stage company
• You own problems end-to-end.