AI/ML Engineer — Generative

3 days ago

New Delhi, India Brandvelocity.ai Full time

AI/ML Engineer — Generative & Agentic AI (GCP Environment)Location: Bengaluru (Hybrid / Full-time)Compensation: ₹8–12 LPA + ESOPs (based on skills, experience & education)About UsAt BrandVelocity.ai, we are building the next generation of Agentic AI systems for marketing intelligence, demand acceleration, and brand growth. Our mission is to integrate human creativity and machine intelligence to transform how brands understand and engage their audiences.We’re now expanding our core engineering team — and looking for someone who thrives in fast-paced, high-ownership environments and wants to build real, production-grade Gen AI systems.Role OverviewAs an AI/ML Engineer, you’ll design, build, and deploy Generative and Agentic AI solutions leveraging Google Cloud Platform (GCP). You’ll work on LLM fine-tuning, RAG pipelines, automation flows, and scalable production APIs — while collaborating with cross-functional teams on applied AI projects.What You’ll Do- Develop and deploy Gen AI / Agentic AI models at scale. - Build RAG pipelines and optimize model retrieval workflows. - Fine-tune open-source and proprietary LLMs for production-grade use. - Implement automations, multi-agent systems, and intelligent workflows. - Design APIs using FastAPI and integrate with Vertex AI, BigQuery, Firebase, and Dialogflow. - Build, deploy, and monitor CI/CD pipelines on GCP. - Containerize workloads using Docker and manage orchestration through Kubernetes. - Collaborate on data engineering, model monitoring, and performance tuning.What We’re Looking For- 2–3 years of hands-on experience in AI/ML or applied Gen AI systems. - Proven experience building and deploying production-grade AI pipelines. - Strong proficiency in Python, FastAPI, and cloud-native development. - Mandatory: 1+ years GCP-certified experience, with working knowledge of: - Vertex AI, BigQuery, Firebase, Dialogflow, Cloud Run, Cloud Storage, Cloud Functions. - Strong knowledge of Docker, Kubernetes, and CI/CD pipelines. - Exposure to fine-tuning, prompt engineering, and multi-agent frameworks. - Startup or product-building experience is a big plus.Why Join Us- Build cutting-edge Agentic AI products from the ground up. - Collaborate with a fast-growing, ambitious team at the intersection of AI, AdTech, and Brand Intelligence. - Competitive pay with ESOPs for long-term wealth creation. - Work directly with founders, Co founders, researchers, and industry experts shaping the future of AI in marketing and Advertising.

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