Agentic AI Engineer

Responsibilities

Ship full stack features end to end using React or Next.js frontends and Python, PHP, or Node backends with real deployments

Design and build task specific AI agents for real workflows like lead qualification, CRM updates, call handling, and order handoff

Apply AI assisted development to accelerate delivery while owning correctness, security, and final review

Deploy and operate systems in production on Google Cloud and classic hosting, with monitoring and runbooks

Implement guardrails including call auditing, compliance safe wording, and human handoff logic when it matters

Measure agents against ground truth using real call recordings and task outcomes, not synthetic benchmarks

Integrate with Zoho CRM and telecom provider APIs, including retry logic and failure handling

Qualifications

A portfolio of working software you can present and explain

Production experience is preferred; substantial personal and open source projects are equally considered, and freshers are welcome

Full stack fundamentals with proficiency across a JavaScript or TypeScript frontend and a Python, PHP, or Node backend

Daily fluency with AI coding assistants, combined with the judgment to review and validate their output

Understanding of how to evaluate agent output against real world ground truth rather than demo performance alone

Working knowledge of cloud deployment is a plus, ideally Google Cloud like Cloud Run, Firestore, or Cloud Tasks

Comfort owning a system end to end in a small team from design through production support

What We Offer:

Competitive salary benchmarked to experience and market

Hybrid working model that is remote first, with regular collaboration at the Bengaluru office

A structured path in: a one month internship on production work, followed by full time confirmation

A long term position where we invest in people who grow with the company

A small, senior team with direct access to the founder and lead engineer on architecture decisions