Software Engineer

Who We Are

Yieldmo is an advertising platform that helps brands invent creative experiences through tech and AI, using custom ad formats, proprietary attention signals, predictive format selection, and privacy-safe premium inventory curation. We believe all ads should be human-centered, tailored, and provoke emotion and action. Yieldmo helps brands deliver the best ad for every impression opportunity, merging creative and media for proven results.

The Role

We're hiring a Software Engineer / Senior Software Engineer (5–10 years of experience) to help build Yieldmo's AI-powered search engine, which will change how users discover and engage with content across major publishers. This is a full-stack role with a strong ML component. You'll build backend services and ML-powered features, and ship the user-facing interfaces that bring them to life.  We care most about builders: engineers who write production code, iterate quickly, make pragmatic tradeoffs, and own their work end to end.

What You'll Do

• Design, build, and operate backend services and APIs that power AI-driven search, including retrieval, ranking, and indexing components.
• Build and deploy ML features into production: embeddings, vector search, RAG pipelines, LLM integrations, and model evaluation.
• Develop responsive, performant front-end experiences that surface search results and AI features to users and internal teams.
• Build and maintain data and content ingestion pipelines that feed the search system.
• Own features end to end, from prototype through production, monitoring, and iteration.
• Partner with Product, ML, and Engineering teams to turn requirements into shipped features.
• Drive quality, performance, and reliability for the services you own, including testing, code reviews, and observability.
• Share knowledge and support teammates; senior engineers will mentor others and contribute to technical design decisions.

Requirements

• Must be based in India.
• 5–10 years of professional software engineering experience, building and operating production systems.
• Strong backend skills in Python, with solid SQL and experience designing APIs and microservices.
• Hands-on front-end experience with a modern framework (React preferred) plus JavaScript/TypeScript, HTML, and CSS.
• Practical ML experience in production: working with embeddings, vector databases, LLMs, RAG, or ranking/recommendation models.
• Experience with Docker, cloud platforms (AWS or GCP), and CI/CD.