AI Engineer - Business Finance (CFO's Office)

Shadowfax

Bengaluru South, Karnataka, India

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.

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.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗿𝗼𝗹𝗲

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.

𝗪𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗯𝘂𝗶𝗹𝗱

Agentic AI workflows (Claude, GPT, or equivalent) that reconcile 1 Cr+ shipments monthly
LLM-assisted anomaly detection that flags non-compliance before month close, not after
ML models for revenue-leakage and fraud detection: time-series anomaly detection, transaction matching, variance decomposition
The finance data layer: SQL/Python ETL pipelines over OMS, TMS, and billing-system extracts, validated and reconciled to source
Evaluation harnesses for every AI workflow (golden cases, regression checks) so no unverified number reaches leadership
End-to-end reconciliation automation: transaction matching, variance detection, automated settlement workflows

𝗬𝗼𝘂 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗱 𝗼𝗻

Rupees recovered and leakage prevented by systems you build
Hours of manual finance work eliminated
Accuracy of AI outputs in production: eval pass rates, error budgets
Speed from leadership question to verified answer

𝗪𝗵𝗼 𝘀𝗵𝗼𝘂𝗹𝗱 𝗮𝗽𝗽𝗹𝘆

2-4 years building production ML or AI systems; you have shipped something AI-powered that people actually use
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
Expert Python plus deployment (FastAPI, Docker); advanced SQL and feature engineering
Hands-on LLM work: Claude / GPT / Gemini APIs, prompt engineering, RAG, agentic workflows or MCP
B.Tech / M.Tech in CS, Data Science, or AI-ML
Logistics, fintech, or high-volume transactional domain experience preferred
Accuracy obsession: an unverified number is a defect, not a draft

𝗪𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗻𝗼𝘁

Not AI research: this is applied AI on live financial data, judged by rupees recovered and hours saved
Not a support seat: you own systems end to end, from pipeline to production to evaluation
Not a prompt-only role: you ship code that runs unattended

𝗪𝗵𝘆 𝗷𝗼𝗶𝗻

Build agentic AI in mission-critical finance at a listed company, with real P&L data from day one
Direct CXO exposure: your systems feed pricing, margin, and commercial decisions at the leadership table
A team already operating AI-first, where the path from Associate to Director has been walked in two years

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

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

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