Tech Lead – AI & Full-Stack Platform Engineering

Company: Saba Well SDC India Pvt Ltd Brand Name

• Omni. Fi Salary: Competitive, as per market standards Employment Type: Permanent Location: Kolkata Work Mode: On-site (Work from Office) Office Hours: Monday to Friday, 11 AM – 8 PM About the Company
• Saba Well 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, Big.

Query, 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