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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The 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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You 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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→ Agentic AI workflows (Claude, GPT, or equivalent) that reconcile 1 Cr+ shipments monthly

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→ LLM-assisted anomaly detection that flags non-compliance before month close, not after

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→ ML models for revenue-leakage and fraud detection: time-series anomaly detection, transaction matching, variance decomposition

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→ The finance data layer: SQL/Python ETL pipelines over OMS, TMS, and billing-system extracts, validated and reconciled to source

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→ Evaluation harnesses for every AI workflow (golden cases, regression checks) so no unverified number reaches leadership

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→ End-to-end reconciliation automation: transaction matching, variance detection, automated settlement workflows

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• Rupees recovered and leakage prevented by systems you build





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• Hours of manual finance work eliminated

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• Accuracy of AI outputs in production: eval pass rates, error budgets

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• Speed from leadership question to verified answer

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• 2-4 years building production ML or AI systems; you have shipped something AI-powered that people actually use

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• Proficiency in machine learning and pattern recognition, including designing, training, and evaluating models for complex business problems; NLP for document understanding and query-based analytics

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• Expert Python plus deployment (FastAPI, Docker); advanced SQL and feature engineering

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• Hands-on LLM work: Claude / GPT / Gemini APIs, prompt engineering, RAG, agentic workflows or MCP

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• B.Tech / M.Tech in CS, Data Science, or AI-ML

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• Logistics, fintech, or high-volume transactional domain experience preferred

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• Accuracy obsession: an unverified number is a defect, not a draft

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• Not AI research: this is applied AI on live financial data, judged by rupees recovered and hours saved

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• Not a support seat: you own systems end to end, from pipeline to production to evaluation

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• Not a prompt-only role: you ship code that runs unattended

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• Build agentic AI in mission-critical finance at a listed company, with real P&L; data from day one

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• Direct CXO exposure: your systems feed pricing, margin, and commercial decisions at the leadership table

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• A team already operating AI-first, where the path from Associate to Director has been walked in two years

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????????????: Competitive CTC, benchmarked to top quartile. Fixed plus performance variable.

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#Hiring #AIEngineer #MachineLearning #BusinessFinance #Bangalore #Shadowfax

📌 AI Engineer - Business Finance (CFO's Office) (Bengaluru)
🏢 Shadowfax
📍 Bengaluru