senior AI Engineer

ShopOS

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Health & wellness benefits
Work from Bangalore (HSR Layout)
Mentorship from founders and advisors
Fast-paced builder-led team
High ownership, low bureaucracy

Job summary

ShopOS is seeking an experienced AI/ML engineer to integrate and scale AI models supporting personalization, search, and campaign generation. You will own end-to-end inference and finetuning workflows while collaborating with product and backend teams.

The role requires strong Python/NodeJS skills, deep knowledge of Generative AI, LLMs, embeddings, and API integrations, with comfort in Docker and cloud platforms. Bengaluru-based, mentorship from founders offered.

Qualifications

  • 6+ years in related AI/ML roles.
  • Expertise in Python or NodeJS.
  • Strong knowledge of Generative AI, LLMs, Diffusers and DiTs.
  • Experience calling foundation-model APIs and embeddings, RAG patterns.
  • Proficiency with Git, Agile, CI/CD.
  • Experience with API integrations and cloud services.
  • Ability to explain complex systems to both technical and non-technical teammates.
  • Comfort with Docker and basic infra-as-code tools.

Responsibilities

  • 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 and finetuning workflows.
  • Work on embeddings, RAG, and vector search.
  • Optimize model usage across cloud platforms.

Skills

Python
NodeJS
Generative AI
LLMs
Diffusers/DiTs
APIs (foundation-models)
Git
CI/CD
Docker
Cloud (AWS/GCP/Azure)

Tools

AWS
GCP
Azure

Job description

Job Description:
About the Company
Join the Rocketship

We’re building ShopOS — AI agents powering the entire ecommerce stack. Already past PMF, we’re scaling fast and shaping the future of how online brands are built with AI. Co-founded by seasoned builders with multiple successful exits to companies like Flipkart & Polygon Labs, and we’re backed by Binny Bansal. This isn’t just another start-up — it’s a front‑row seat to the next big shift in ecommerce.

Watch

What is ShopOS (from the founders’ lens - Click here)

About the Role

You’ll work on integrating and scaling AI models in production to power features like personalization, search, and campaign generation.

What You’ll Own
  • 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 and finetuning workflows
  • Work on embeddings, RAG, and vector search
  • Optimize model usage across cloud platforms
What We’re Looking For
  • Overall experience with similar background of 6+ years
  • Deep expertise in either Python or NodeJS
  • Advanced understanding of Generative AI, LLMs, Diffusers and DiTs
  • Practical experience calling foundation-model APIs (OpenAI, Anthropic, open-source LLMs), embedding models, RAG patterns, or agentic frameworks.
  • Proficiency in Git, agile development, CI/CD
  • Experience with API integrations
  • Problem-solving mindset to navigate ambiguity in a fast-paced startup
  • Passion for building revolutionary AI products
  • Strong communication and collaboration skills
  • Comfortable with Docker, cloud services (AWS/GCP/Azure), and basic infra-as-code tools
  • Ability to explain complex systems to both technical and non-technical teammates
You’ll Thrive If You Are
  • Python or NodeJS
  • ComfyUI, n8n, CrewAI or similar orchestration engines
Our Values
  • Embrace extreme ownership and bias for action
  • Act with integrity and empathy
  • Pursue relentless innovation and experimentation
  • Prioritize user needs and experience
  • Invest in personal growth and team collaboration
What We Offer
  • Competitive salary
  • Health & wellness benefits
  • Work from our vibrant Bangalore (HSR Layout)
  • Direct mentorship from founders and advisors across Gen AI, product, and design
  • A fast-paced, builder-led team solving meaningful, technical problems
  • High ownership, low bureaucracy culture
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