About the Role
Innowhyte is hiring a Full Stack AI Engineer to build production-grade AI agents for the tax and legal domain, where accuracy and reliability are critical.
You’ll own the end-to-end stack—from Next.js/TypeScript frontend and Python backend to RAG pipelines, AI agents, evaluation, and infrastructure. A key part of the role is building production-grade Agent Harnesses that make agents reliable, observable, and protected.

What You'll Do
Build and ship full-stack AI features using Next.js, TypeScript, and Python.
Build and operate AI Agent Harnesses covering tool use, planning/orchestration, memory/state, evaluations, guardrails, retries, and observability.
Build production RAG systems including chunking, embeddings, vector search, hybrid search, re-ranking, and citation-grounded generation.
Take AI prototypes to production with evaluation, regression testing, monitoring, tracing, and model/prompt versioning.
Design scalable systems across databases, cloud infrastructure, model providers, and AI runtimes.




Work directly with domain experts to translate real-world workflows into production-ready AI agents.
Use AI coding agents such as Claude Code, Cursor, or Copilot as part of your daily workflow.

What We're Looking For
2+ years of professional software engineering experience.
1–2+ years building and shipping GenAI applications to production.
Strong Next.js/TypeScript and Python skills.
Production experience with RAG or AI agents.
MANDATORY: Hands-on production experience building or owning an AI Agent Harness / Agent Runtime.
Experience with LangGraph, LangChain, LlamaIndex, or a comparable agent framework, or a custom agent runtime.
Understanding of LLM limitations, evaluation, observability, reliability, latency, and cost.
Production experience with AWS/GCP/Azure, Postgres, and object storage.
Fluent daily use of AI coding agents.
Agent Harness experience is NON-NEGOTIABLE. Candidates with only prompt engineering, LLM API integration, or basic RAG experienc

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