Lead AI/ML Engineer

Lead AI/ML Engineer – AI/MLBrandVelocity.ai (Bravelo Tech Solutions Pvt. Ltd.)

This is an IMMEDIATE HIRE POSITION

Location: Bengaluru, India (Hybrid) Employment Type: Full-Time Reports To: Founder & CEO | CTO Experience: 3–7 Years (Hands-On AI/ML & Product Architecture)

About BrandVelocity.ai

BrandVelocity.ai is an AI-native MarTech & AdTech startup building the next generation of intelligent brand, Audience and Campaign management infrastructure. Our platform is organised around a KNOW → DECIDE → ACT → LEARN agentic framework ,a multi-agent orchestration system that helps brands, agencies, and enterprises move from fragmented data to decisive, autonomous marketing action.

We are proud participants in the Google AI Startup Program and the NVIDIA Inception Program, and we are currently in Private Beta with marquee early customers.

This is a builder's role, for someone who is curious and passionate and wants to architect and ship a category-defining AI product from the ground up and work closely with POC customers.

The Role

We are looking for a Lead AI/ML Engineer – AI/ML who sits at the rare intersection of deep technical expertise, product thinking, and domain understanding in Marketing & Advertising technology.

You will be a hands-on architect and builder, not just a strategist. You will design, build, and scale the AI/ML core of our platform: from agentic orchestration pipelines and RAG architectures to proprietary Brand Language Models and real-time data integration systems.

You will work directly with the Founder & CEO and Technical Co founder CTO and senior technical team, shaping both technical direction and product roadmap at the highest level of the organisation.

What You Will Do

Architecture & Engineering

• Architect and build multi-agent AI systems, agentic RAG pipelines, and LLM orchestration layers end-to-end • Design and develop Brand-specific Small Language Models (SLMs) and fine-tuning workflows using domain-specific data • Build and manage complex data integration pipelines third-party APIs, webhooks, file integrations, MCP (Model Context Protocol) connectors, and CDPs • Define and enforce AI/ML engineering standards, model evaluation frameworks, and production deployment practices • Own the transition from external LLM API dependency to proprietary, defensible AI architecture Product & Technical Direction • Translate complex business and marketing problems into precise AI/ML system designs and product requirements • Contribute meaningfully to the product roadmap bridging what is technically possible with what the market needs • Lead technical due diligence preparedness and represent the AI/ML architecture to investors, partners, and customers • Stay ahead of the curve on emerging frameworks LangGraph, CrewAI, AutoGen, DSPy, and what comes next Team & Collaboration • Work hands-on alongside the AI/ML team (including our AI/ML Director and Senior Director of AI/ML) • Mentor and elevate engineers; establish strong engineering culture and practices • Collaborate cross-functionally with product, data, and business teams What We're Looking For Must-Have

• 3–7 years of hands-on experience in AI/ML and data-driven product development • Last 3 years must include direct, production-grade work on Generative AI products, not just prototypes • Proven track record of building products 0→1 (inception to launch) and 1→10 (scaling in production) • Deep, hands-on experience building AI Agents and Agentic AI systems (multi-agent orchestration, tool use, memory, planning loops) • Strong command of Agentic RAG architecture — retrieval strategies, re-ranking, chunking, hybrid search, evaluation • Solid fundamentals in Machine Learning, Deep Learning, and NLP/LLM systems • Proficiency in Python and relevant AI/ML frameworks (LangChain, LangGraph, LlamaIndex, HuggingFace, or equivalents) • Experience integrating with LLM APIs (OpenAI, Anthropic, Gemini, open-source models) and managing prompt engineering at scale • Experience with data engineering pipelines, vector databases, structured/unstructured data processing • Ability to read, write, and review production code, this is a hands-on role Strong Advantage • Experience in MarTech, AdTech, Programmatic Advertising, or Marketing Analytics • Working knowledge of CDP, DSP, SSP, DMP, or similar data platforms • Familiarity with MCP (Model Context Protocol), AI connectors, webhooks, and API-driven integrations • Experience with Brand Safety, Compliance-aware AI, or regulated AI deployments • Exposure to SLM fine-tuning, LoRA/QLoRA, or domain-specific model adaptation • Prior experience in an early-stage startup environment • Why