Job Description
The context: Shadowfax just closed its most profitable quarter ever. ₹1,358 Cr revenue (+65% YoY), a fifth straight quarter of 60%+ growth, and all-time-high PAT of ₹65 Cr. And AI here is in production, not in slideware: our delivery-partner copilot handles ~16,000 conversations a day with ~97% resolved without human intervention, and Vision AI catches ~40% of mismatched reverse pickups at the doorstep at ~35x lower inference cost than a frontier model.
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nThe CFO's office runs the same way. Agentic reconciliation, LLM-assisted anomaly detection, and self-refreshing dashboards already run our revenue-assurance workflows. We are hiring the engineer who takes this system 10x further.
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nYou will be the AI engineer inside Business Finance and Revenue Assurance: one engineer, working with AI, producing the output of a team, at public-company accuracy standards. The systems you build protect revenue across 1 Cr+ shipments a month.
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n→ Agentic AI workflows (Claude, GPT, or equivalent) that reconcile 1 Cr+ shipments monthly




n→ LLM-assisted anomaly detection that flags non-compliance before month close, not after
n→ ML models for revenue-leakage and fraud detection: time-series anomaly detection, transaction matching, variance decomposition
n→ The finance data layer: SQL/Python ETL pipelines over OMS, TMS, and billing-system extracts, validated and reconciled to source
n→ Evaluation harnesses for every AI workflow (golden cases, regression checks) so no unverified number reaches leadership
n→ End-to-end reconciliation automation: transaction matching, variance detection, automated settlement workflows
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n• Rupees recovered and leakage prevented by systems you build
n• Hours of manual finance work eliminated
n• Accuracy of AI outputs in production: eval pass rates, error budgets
n• Speed from leadership question to verified answer
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n• 2-4 years building

📌 AI Engineer (Bengaluru)
🏢 Shadowfax
📍 Bengaluru