Founding Software Engineer

5 hours ago

Bengaluru, Karnataka, India f87c69df-6754-40a7-bc3b-3b71d46aee51 Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Hiring: Founding Software Engineer – Full-Stack / AI-Augmented Software Engineer

– India

Send your profile to

Compensation:
Equity (based on experience, TBD)

Location:
Remote/Hybrid – Bengaluru, India

Type:
Founding Team | Full-Time | Part-Time (conflict-free, highly committed professionals)

About the Role

is building an AI-native Risk intelligence platform. As a
Founding Engineer
, you will work directly with the founders to architect, build, and scale core AI systems—including RAG pipelines, LLM microservices, and data engineering components.

We are seeking engineers who
embrace AI-augmented development
, iterate quickly, and are ready to tackle complex, evolving challenges using AI-assisted coding workflows.

Engineers whose experience is limited to purely traditional coding practices may find this role misaligned.

Experience with AI-assisted, auto-coding, or AI-augmented workflows is essential.

Interviews will focus on your ability to work with AI-driven development environments (e.g., Claude, Cursor), system design depth, and end-to-end execution.

Responsibilities

  • Build end-to-end AI features: RAG pipelines, LLM inference layers, embeddings, vector search workflows.
  • Develop backend services and APIs using Python/Node; deploy using
    GCP Cloud Run
    .
  • Own CI/CD pipelines—automate testing, releases, and observability.
  • Design and optimize data ingestion, processing, and retrieval modules.
  • Contribute to front-end development ) with a willingness to learn rapidly.
  • Collaborate on product vision, architecture decisions, and the engineering roadmap.
  • Operate with a founder mindset:
    velocity, ownership, and resilience
    .

Requirements

  • Strong programming skills in
    Python or Node
    with proven
    AI/LLM development experience
    .
  • Hands-on experience with
    RAG pipelines
    , vector DBs, embeddings, and prompt/context engineering.
  • Solid knowledge of
    GCP
    (Cloud Run, Cloud Functions, Firestore, IAM).
  • Familiarity with CI/CD (GitHub Actions, Cloud Build).
  • Ability to work across the
    full stack
    (frontend + backend).

Bonus

  • Experience with
    AI-augmented development
    , agentic workflows, or rapid prototyping.
  • Proficiency with AI-assisted coding tools (Cursor, Claude, Devin-style workflows).

Send your profile to

and join us in building something transformative.

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