# Software Engineer / Senior Software Engineer, AI & Search (India) at Yieldmo

> Remote · India · Senior · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Ayieldmo%3A8243707 (read 2026-11-11).

## Facts (observed)

- Company: [Yieldmo](https://alderhq.app/companies/yieldmo)
- Location text: India; Remote - India
- Where it can be done from (inferred): Remote · India (evidence: "Location lists "india" and remote")
- Posted: 2026-09-30 (42 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://yieldmo.com/company/?gh_jid=8243707#
- Skills listed (inferred): TypeScript, JavaScript, React, CSS, Python, Kafka, AWS, GCP, Docker, Spark, Airflow, SQL, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 23): p25 $87k, median $87k, p75 $87k

## Description (the employer's text)

### 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.
- Strong fundamentals in data structures, system design, and testing.
- Clear written and verbal communication, and comfort working cross-functionally in a fast-moving, remote team.
- An ownership mindset: you ship, measure, and improve.
### Nice to Haves

- Deeper ML/AI backend experience: model serving, fine-tuning, training pipelines, or online/offline evaluation.
- Experience building search or retrieval systems (inverted indexes, BM25, hybrid search, rerankers).
- Familiarity with data tools such as Kafka, Spark, Airflow, or a modern data warehouse.
- Experience with publisher-scale content, recommendation systems, or adtech.
### Hiring Process

Selected candidates will be invited to a 30-minute screening call with our Talent Acquisition team, where we'll share full process details. The process typically includes:

- A 30-minute video interview with the Hiring Manager.
- A remote round of video interviews with team members and leadership.
- An offer for successful candidates.
### Our Values

- Innovation: We encourage curiosity, embrace new ideas, and believe no idea is too bold.
- Agility: We embrace change, act quickly, and adapt with a focus on getting things done.
- Intelligence: We make decisions guided by data, aiming to deliver maximum value to our customers.
- Autonomy: We empower individuals to create their own paths with flexibility and independence.
- Togetherness: We foster teamwork, mutual support, and an environment where every voice matters.
### What We Offer

- Remote work: A fully distributed team, with annual offsites, holiday parties, and more.
- Company-paid health coverage: Medical, dental, and vision plans for you and your family.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ayieldmo%3A8243707 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.