Feb 25
📅 **AI Hiring Report — Bengaluru | Day 3**
Tracking AI hiring trends across India city by city.
Full spectrum AI Roles from Intern → Engineer → Lead → Director roles in same dataset.
1️⃣ AI Engineer | Mid Developer — Hitachi
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2️⃣ Senior AI Compute Engineer (HPC, GPUs, Distributed Training) — Qualcomm
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3️⃣ Data Engineer – AI & Analytics — Caterpillar
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4️⃣ Palantir AI Engineers — Prodapt
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5️⃣ Senior Software Engineer – GenAI — Wells Fargo
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6️⃣ Director — AI/ML & GenAI — Mobileum
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7️⃣ Software Engineer – GenAI & Agentic Systems — HPE
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8️⃣ Lead Quant Analytics Consultant (NLP / GenAI) — Wells Fargo
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9️⃣ GenAI Engineer (Medical Imaging & Healthcare AI) — DeepHealth
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🔟 Senior Generative AI Engineer — Kimberly‑Clark
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1️⃣1️⃣ AI / GenAI Tech Intern — GravityOne
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1️⃣2️⃣ ServiceNow AI / GenAI Developer — Zorba AI
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1️⃣3️⃣ Senior Lead BI Consultant – GenAI — Wells Fargo
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📊 Hiring Trend Analysis
🔥 1. GenAI is now enterprise infrastructure
Banks, manufacturing, healthcare, and consulting firms are all hiring — AI is no longer experimental.
🧠 2. Agentic AI roles are emerging
Titles mentioning Agentic Systems show shift toward AI workflows, not just models.
⚙️ 3. AI Infrastructure = premium skillset
GPU compute, distributed training, and HPC roles (Qualcomm/HPE) indicate demand for AI platform engineers.
🏥 4. Vertical AI is accelerating
Healthcare AI, analytics AI, and ServiceNow AI roles show domain‑specific GenAI adoption.
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