Full Stack Engineer - Lead

Recrew AI; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Recrew AI, an early-stage AI startup, is seeking a Tech Lead to own a full engineering pod and drive scalable AI agent systems. You will translate customer problems into production-grade solutions, set engineering standards, and mentor the team as you ship impactful features for North American customers.

You will architect backend systems with Django/DRF, LangChain, and PostgreSQL, while collaborating closely with founders and PMs to align product and tech roadmaps in a fast-paced, founder-led

Qualifications

• 5–7 years of software engineering experience with 2+ years in a tech lead role.
• Built and shipped a core product from scratch in a startup setting.
• Experience with multi-tenant data models and RBAC.
• Strong backend with Django/DRF and frontend with ReactJS.
• Hands-on with AI orchestration and production-quality pipelines.

Responsibilities

• Own the full pod lifecycle: architecture, execution, and delivery.
• Engage with accounting firm customers to capture requirements.
• Architect and scale backend systems and AI agent pipelines.
• Drive 0-to-1 feature development from problem to production code.
• Set engineering standards: API design, tests, and incident ownership.
• Collaborate with founders and PMs on roadmap priorities.
• Mentor engineers to foster a high-performance culture.

Skills

Full-stack development

Tech leadership

Customer engagement

Startup experience

Distributed systems

AI orchestration

Multi-tenant data

Tools

Django/DRF

ReactJS

PostgreSQL

REST APIs

LangChain

LangGraph

OpenAI APIs

Job description

Role: Tech Lead – Full-Stack AI Platform

Type: Full-time

About Company

An early-stage AI startup building the accounting firm of the future. The company's platform acts as a specialized junior accountant for independent accounting firms in North America.

It automates routine delivery and administrative tasks, delivering productivity gains exceeding five times in targeted workflows. Operating in a $150B+ accounting market, the company is backed by $6M in seed funding.

The team is lean, founder-led, and ships to real users fast.

Position Overview

As Tech Lead, you will own a full engineering pod — setting technical direction, driving high-quality execution, and engaging directly with accounting firm customers to close the feedback loop. This is a 0-to-1 role at a seed-stage company: you will architect scalable AI agent and automation systems, hold the bar for your pod's engineering standards, and translate ambiguous customer problems into production-grade solutions. Your decisions will directly determine how fast the company can scale its platform across North America.

Role & Responsibilities

• Own the full technical lifecycle of a pod — architecture, execution, code quality, and delivery — with direct accountability for timelines and outcomes
• Engage directly with accounting firm customers to understand workflow pain points, validate solutions, and translate requirements into technical decisions
• Architect and scale backend systems and AI agent pipelines built on Django/DRF, LangChain/LangGraph, and PostgreSQL to handle growing data volumes and tenant complexity
• Drive 0-to-1 feature development: take ambiguous problem statements from first principles to production-ready, explainable code — no black-box vibe-coding
• Set and enforce engineering standards within the pod — API design, test coverage for AI pipeline logic and document parsing edge cases, and incident ownership
• Collaborate with founders and PMs on roadmap prioritization, proactively surfacing technical constraints and challenging requirements when the path doesn't make sense
• Mentor and grow engineers within the pod, establishing a high-performance execution culture

Must Have Criteria

• 5–7 years of software engineering experience, with at least 2 years in a tech lead or equivalent pod ownership role
• Demonstrated 0-to-1 experience: has built and shipped a core product or system from scratch in a startup or early-stage environment
• Has owned and resolved scalability challenges in production — throughput, reliability, or multi-tenant data volume at scale
• 3+ years building and shipping production software as a full-stack engineer using Django/DRF, ReactJS, PostgreSQL, and REST APIs
• Hands-on production experience with AI orchestration: LangChain, LangGraph, OpenAI/Anthropic APIs, RAG pipelines, and structured outputs
• Experience building B2B SaaS products with multi-tenant data models, RBAC, and audit trails
• Track record of direct customer or stakeholder engagement — has translated customer requirements into technical decisions

Nice to Have

• Experience with Celery + Redis for async task pipelines in production
• Familiarity with document OCR or financial document processing (e.g., Unstructured.io)
• Exposure to AWS or GCP, Docker, and workflow orchestration tools such as Temporal or Prefect
• Prior domain exposure to tax, accounting, or financial document workflows
• Experience at a seed or Series A startup with an engineering team of fewer than 15 people

What We Offer

• End-to-end pod ownership from day one — technical, product, and customer dimensions
• Direct collaboration with founders and PMs in a high-trust, low-bureaucracy environment
• Ship to real users and see the impact of your work in weeks, not quarters
• Hybrid work setup based out of Bengaluru, with exposure to North American customers and partners