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Staff Engineer at BluePill AI

BluePill AI is looking for a Staff Engineer to take full ownership of their AI platform and infrastructure. Based in India (remote), you’ll work directly with the CTO to build "AI Consumer Twins"—synthetic focus groups used by brands like Magic Spoon and Kettle & Fire. With a compensation package up to ₹1 Crore plus equity, you’ll be the primary owner of the simulation pipeline and developer experience for a rapidly scaling AI startup.

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BluePill AI

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Location

Remote, India

Compensation

₹1 Crore + Equity

Company

BluePill AI

Role overview

You will take full ownership of BluePill AI’s simulation platform, cloud infrastructure, and release processes. As a Staff Engineer, you’ll balance AI agent development with high-stakes DevOps and security, ensuring that synthetic consumer insights are deterministic, explainable, and production-ready for enterprise clients like Kettle & Fire and The Outset.

BluePill (BluePill AI) is an AI-powered consumer insights and research platform that builds “AI consumers”—digital twins of real audiences—to help brands simulate and predict how real customers will think, feel, and act in response to products, packaging, messaging, campaigns, pricing, and other go‑to‑market decisions.[2][3][7][14][18] Using millions of real‑world data points such as purchase behavior, demographics, psychographics, survey responses, social conversations, and qualitative interviews, BluePill constructs lifelike AI personas or synthetic consumer panels that think and decide like actual target customers.[2][4][7][14] Marketers and product teams log into the platform to run on‑demand surveys, focus groups, creative and message tests, packaging and concept tests, and behavioral studies, obtaining instant, validated insights at a fraction of the cost and time of traditional research panels or focus groups.[2][4][6][7][14][20] The platform’s insights are continuously benchmarked and validated against human responses, with humans in the loop to maintain accuracy and relevance, offering a scalable alternative to conventional market research while reducing costs by up to 90% and enabling rapid iteration across the marketing and product lifecycle.[4][11][18]

What you will do

  • Build and maintain Python services that score packaging and concepts, ensuring results are deterministic, reproducible, and explainable to enterprise customers.
  • Architect the migration to AWS, implementing cost control, per-team attribution, and observability frameworks from the ground up for massive LLM workloads.
  • Lead engineering efforts for SOC 2 compliance and SSO implementation, including access control, audit logging, and secure environment separation.

Who this is a fit for

  • Professional software engineer with 5+ years of experience, including 2+ years specialized in infrastructure/platform work and 4+ years in production Python.
  • Hands-on expert in AWS (IAM, ECS/EKS, S3) and Infrastructure as Code (Terraform/Pulumi) who has personally managed state files and CI/CD pipelines.
  • Experienced in LLM application engineering (1.5+ years) with direct exposure to agent frameworks like MCP, LangChain, or Temporal-backed workflows.

Why this role is remarkable

  • Work directly with the CTO as a high-leverage individual contributor owning the entire platform and infrastructure for a revenue-generating AI product.
  • Join a pre-Series A team of 15 during a high-growth phase, with clients like Magic Spoon and Kettle & Fire already using the platform.
  • Influence the bleeding edge of AI agent engineering by implementing Model Context Protocols (MCP) and building sandboxed agent tooling from scratch.

How Jack & Jill work together

Jack
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Jill
I recruit from Jack’s network and make the intro when I spot a great match.
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