AI Data Engineer | Effiflo

Location: Remote (India)
Experience: 2-4 years
Education: IIT, NIT, BITS, or equivalent
Compensation: Competitive salary + cutting-edge tech exposure

The Opportunity
Effiflo is an AI automation and tech enablement company helping recruitment teams and staffing agencies build intelligent systems that actually scale. We work with Python, FastAPI, Supabase, n8n, LangChain, and Claude - building data pipelines, integrations, and AI agents that power the next generation of recruitment automation.

You'll work directly with the head of engineering on a critical problem - connecting fragmented recruitment data across 15+ platforms (LinkedIn, Indeed, Gmail, Lemlist, Outreach, Ashby, etc.) into a unified, intelligent system.

This is a backend + data architecture heavy role (90% of your time going there, 10% project management) for someone who enjoys figuring things out independently, learning through building, using AI as a planning and execution tool, and taking ownership of features end-to-end.

Core Responsibilities




- Build and maintain data pipelines connecting multiple platforms (hiring platforms, email, CRM, ATS, outreach tools) via APIs - Design ETL workflows to extract, normalize, and consolidate data from heterogeneous sources
- Consolidate fragmented data into unified profiles - Merge candidate and client data from multiple sources into a single source of truth; build APIs that surface clean, consolidated profiles with experience, education, and activity data
- Build MCPs (Model Context Protocol) and AI agents to orchestrate workflows - Design agentic systems that automate data consolidation and standardization; create intelligent workflows that adapt to current data sources
- Implement observability and optimization - Track and optimize external API call usage (costs, latency, error rates); monitor LLM API calls for cost and performance
- Deploy and scale systems using modern platforms - Work with Supabase for data storage; use Render for

📌 AI Data Engineer (India)
🏢 Effi Flo
📍 India