Tech Lead - AI &

- Full-Stack Platform Engineering

Omnifi | Full time

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 one 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 ones.

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 one

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 :

- 8 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 Quickbooks, Sage, or Dynamics 365 ecosystems

📌 Omnifi - Technical Lead - AI & Full Stack Platform Engineering (India)
🏢 Saba-Well SDC India
📍 India