Senior AI Engineer
Skills
About the role
This is an onsite senior AI engineering role at ShopOS, based in Bengaluru's HSR Layout. The engineer will integrate and scale LLMs and vision models in production to power personalization, search and campaign generation. It suits someone with 4-10 years of experience building AI pipelines and real-time inference workflows, ideally at a fast-paced startup.
What you’ll do
- Integrate and scale LLMs and vision models
- Build AI pipelines with performance and cost in mind
- Collaborate with product and backend teams
- Own real-time inference workflows
- Own finetuning workflows
- Work on embeddings, RAG and vector search
- Optimize model usage across cloud platforms
- Power features like personalization, search and campaign generation
What they’re looking for
- 4-10 years of experience
- Experience building AI pipelines in production environments
- Experience with real-time inference workflows
Nice to have
- Experience with model finetuning workflows
- Experience at fast-paced startups
- Vision models, diffusers, DiTs and vector search
- Docker and AWS, GCP or Azure
- ComfyUI, n8n or CrewAI
What’s on offer
- Compensation of roughly $33.7K-53.0K/yr equivalent
Questions about this role
Is this role remote?
No, it's onsite, based in Bangalore (HSR Layout).
How much does it pay?
The posting lists roughly $33.7K-53.0K/yr, equivalent to about ₹28-44 LPA.
How many years of experience do I need?
The posting asks for 4-10 years of experience.
How this role compares
One of 15 open Senior AI Engineer roles we are tracking today.
This one advertises ₹2,800,000 – ₹4,400,000 a year. The middle of the 9 that state a figure advertises ₹3,400,000 – ₹4,600,000 a year.
Posted 2 days ago, with 1 of the others posted since and 13 still open from before.
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