Bengaluru is in hiring mode. Google’s Build with Gemini runs today, September 29, 9:00 AM–3:30 PM at The Lalit Ashok, followed by the Google Cloud Startup Summit tomorrow, September 30, 4:00 PM–9:30 PM at The Ritz-Carlton. Expect hands-on labs, demo zones, and founder–investor conversations that translate to immediate referrals and partnerships.
If you are job hunting or exploring upskilling, both events concentrate hiring intent in one place. Build with Gemini supplies on-site sandboxes; Startup Summit adds interactive booths and networking over dinner. Arrive early, target the right track or session, and ask directly about openings, partner referral flows, and pilot projects.

Registration starts 8:30 AM; sessions run till 3:30 PM. Tracks map to business, platform, and app builders. Bring a laptop; lab environments and credits are provided. Use breaks to meet Customer Engineers and partner architects staffing labs; request recruiter or partner referral links on the spot.
The summit opens 4:00 PM tomorrow with pre-event hands-on sessions, a Flipkart fireside on voice AI at scale, live Agentic AI and Gen Media demos, security deep dives, and dinner networking. Prioritize demo booths and the Accel-led panel to surface investor introductions and product feedback loops.
Session design signals demand for agentic AI engineers, platform and MLOps specialists, AI product managers, and cloud security talent. Practice with Vertex AI Agent Runtime, Agent Gateway, IAM guardrails, and hands-on tools like Antigravity CLI and Agent Development Kit to stand out during on-site conversations.
Use Build with Gemini’s sandbox credits to ship a working demo today. Qualifying startups can seek Google Cloud Startup Program credits, up to $250,000 for AI-first ventures. Ask partner booths about co-selling paths and referral policies. Note Google’s new pay‑as‑you‑go option for Gemini Enterprise trials.
Recent Bengaluru reports place MLOps Engineer averages near ₹16–22 LPA, with top submissions around ₹30 LPA; IBM’s AI Engineer band shows ₹24.7–36 LPA for 1–8 years. Carry a one‑page resume, GitHub and demo links, a 90‑second product video, a problem–impact slide, and role‑specific questions.
Two packed days, one clear playbook: build something in the lab today, convert it into a hiring conversation, then secure investor and partner follow‑ups tomorrow. Mark the dates, reach the right booths early, and leave with referrals, a deployable demo, and next steps toward agentic AI roles.