AI Engineer
About Viral Pitch
Viral Pitch is an AI-powered influencer marketing platform based in Gurugram, India. It connects brands and marketing agencies directly with content creators across platforms like Instagram, YouTube, Snapchat, Tiktok, Twitter (X) etc. The platform provides a single dashboard to manage campaigns from start to finish. Influencer Discovery: AI tools help brands filter creators by engagement rate, niche, and audience demographics. Automated Outreach & Negotiation: The system assists with automated messaging, follow-ups, and data-backed price negotiations. Workflow Management: Brands and creators can share briefs, submit drafts, request revisions, and approve assets. Analytics & Payments: It automatically generates performance reports and manages contracts and payouts
Viral Pitch is an AI-powered influencer marketing SaaS platform that helps brands and agencies discover influencers, automate campaign workflows, manage content, contracts, and payments, and measure campaign performance at scale.
We are looking for an AI Engineer to build the intelligence layer behind our platform. This is a hands-on role for someone who enjoys taking AI from experimentation to production-grade products.
Role Description
- Design, build, and deploy AI/ML features across the Viral Pitch platform.
- Build AI agents and workflows for influencer discovery, matching, outreach, negotiation, content analysis, campaign strategy, and reporting.
- Work with LLMs, multimodal models, embeddings, RAG, vector databases, and AI APIs.
- Build reliable AI pipelines for processing text, images, videos, social media data, and campaign data.
- Develop prompt engineering, structured outputs, tool calling, and agentic workflows.
- Integrate models from providers such as OpenAI, Google Gemini, Anthropic, and other emerging AI platforms.
- Evaluate models and select the right balance of quality, latency, and cost for production use.
- Build AI systems that operate at scale while maintaining accuracy, consistency, and reliability.
- Develop evaluation frameworks and monitoring for AI outputs; fine-tune or adapt models where required.
- Work closely with Product and Engineering teams to translate business requirements into practical AI solutions.
- Rapidly prototype new AI capabilities and take successful prototypes into production.
- Stay current with developments in generative AI, AI agents, multimodal AI, and LLM infrastructure.What We Are Looking For
- 2–6 years of experience in AI/ML engineering, generative AI, or a closely related field.
- Hands-on experience building applications using LLMs and generative AI APIs.
- Understanding of embeddings, vector search, RAG, and prompt engineering.
- Experience building production AI applications, not just notebooks or prototypes.
- Strong understanding of APIs, databases, and backend systems.
- Ability to evaluate AI outputs systematically and improve model performance.
- Strong problem-solving ability and willingness to experiment rapidly.
- Ability to work independently and take a feature from idea to prototype to production.