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Omnifi

Tech Lead – AI & Full-Stack Platform Engineering

India; Vietnam
₹346/mo
10+ years exp
Full-time
Posted 5d ago
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Job Description

  • Compensation: $50k – $70k
  • No equity

About Omnifi

Omnifi is an outsourced finance operations company serving mid-market, multi-entity businesses in the US — accounts payable, accounts receivable, payroll, month-end close, general ledger, and compliance reporting, delivered through a dedicated India-based delivery team. We currently manage finance operations for clients across healthcare, non-profit, and services sectors, working inside stacks like Bill.com, QuickBooks, Paylocity, Procurify, and Athena Health.

We are now building the technology layer on top of that operating business: an AI-native platform where autonomous agents handle the invoice processing, reconciliation, and reporting work that our finance teams do manually today, with our finance operators moving into oversight and exception-handling roles rather than pure execution.

This is an early-stage build. There is no platform in production yet. You would be of the first, if not the first, engineering hire — which means unusual ownership over architecture decisions, and also unusual ambiguity, a lean team, and a still-forming roadmap. We're looking for someone who wants that trade-off, not someone looking for a mature engineering org to slot into.

Role Overview

We're hiring a hands-on Tech Lead to architect and build our AI-enabled finance operations platform: full-stack engineering, cloud infrastructure, and AI agent orchestration, working directly with the founding team to turn manual finance workflows into automated, agent-driven.

  • The platform will include:
  • AI agents and automation workflows for finance processes (AP, AR, reconciliation, close, reporting)
  • Integrations with ERP and financial systems (Bill.com, QuickBooks, Procurify, Paylocity, and others)
  • Workflow orchestration and APIs
  • Cloud-native, scalable infrastructure
  • Secure multi-tenant SaaS architecture
  • A web application serving as the management cockpit and client engagement layer — for internal oversight, exception handling, and client-facing interaction and reporting
  • Data infrastructure to ingest and analyze clients' financial data
  • Note on scope: this is the first engineering hire on the platform. You will operate across all of the areas below in the build phase, and — critically — you will be responsible for defining what our next engineering hire should look like: what they should own, what skill gaps they should fill, and when we should bring them on. We are not handing you a pre-defined team structure; we're hiring someone senior enough to design it.

Key Responsibilities

Technical Leadership

  • Own end-to-end technical architecture of the platform in its build phase
  • Set technology direction, coding standards, and review processes as the team grows
  • Translate finance-operations requirements into scalable technical solutions
  • Define the profile, priorities, and timing for our next engineering hire based on what the build actually needs — you will scope this role, not just anticipate it

Cloud & Infrastructure

  • Design and manage infrastructure on Google Cloud Platform (Cloud Run, GKE, Pub/Sub, Cloud SQL, BigQuery, Vertex AI, IAM, VPC)
  • Implement Infrastructure as Code (Terraform or similar)
  • Build out dev/staging/production environments with monitoring, logging, and alerting from day

DevOps & CI/CD

  • Build CI/CD pipelines (GitHub Actions or similar), automated testing, and rollback mechanisms
  • Establish secure secrets management and environment configuration practices

Full-Stack Application Development

  • Build backend services in Node.js and frontend applications in React/TypeScript
  • Design APIs and service-oriented architecture for internal tools and client-facing workflows

Database & Data Architecture

  • Design data models for operational workflows and AI agent memory/context
  • Work with PostgreSQL/MySQL, and Redis for caching where needed

AI & Agentic Systems

  • Design and build AI-agent workflows for finance processes: prompt engineering, tool use, memory, orchestration
  • Integrate LLMs into operational workflows with observability and guardrails
  • Work with RAG architectures and vector databases where relevant

APIs & Integrations

  • Build and maintain integrations with ERP and finance platforms (Bill.com, QuickBooks, Procurify, Paylocity, and similar)
  • Implement OAuth/SSO and secure data exchange patterns

What We're Looking For

Required

  • 10+ years of software engineering experience, including time as a Tech Lead or Senior Full-Stack Engineer
  • Hands-on production experience with GCP (not just familiarity — you've actually run infrastructure that mattered)
  • Strong Node.js/React/TypeScript background
  • Real experience building AI-enabled applications or agentic workflows — not a side project, something that ran in production
  • Comfort operating with an unfinished roadmap, a two-person team, and decisions that haven't been made yet

Strong plus

  • Experience with fintech, ERP integrations, or finance/accounting workflows
  • Startup or early-stage company experience, ideally as an early technical hire
  • Experience with workflow orchestration platforms and event-driven architectures
  • Familiarity with SAP, Oracle, or Dynamics 365 ecosystems

Personal characteristics

  • Builder, not just an architect on paper — you'll be writing code, not reviewing it
  • Comfortable with ambiguity; will tell us when a plan doesn't make sense rather than executing it anyway
  • Can operate independently for stretches without a large team around them

Key Requirements & Skills

  • 10+ years of software engineering experience, including time as a Tech Lead or Senior Full-Stack Engineer
  • Hands-on production experience with GCP (not just familiarity — you've actually run infrastructure that mattered)
  • Strong Node.js/React/TypeScript background
  • Real experience building AI-enabled applications or agentic workflows — not a side project, something that ran in production
  • Comfort operating with an unfinished roadmap, a two-person team, and decisions that haven't been made yet

Frequently Asked Questions

How to apply for Tech Lead – AI & Full-Stack Platform Engineering at Omnifi?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

The salary for this role is $50 per annum.

What experience is required?

10+ years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

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Tech Lead – AI & Full-Stack Platform Engineering

Omnifi · India; Vietnam

Apply on Company Website