Senior Search Engineer (Bengaluru)

Senior Search Engineer (Bengaluru)

06 Aug
|
Nexus Venture Partners
|
Bengaluru

06 Aug

Nexus Venture Partners

Bengaluru

Slikk at a glance Founded in 2024 50 - 200 Senior Search Engineer Slikk Bangalore4-8 Years Apply to Slikk Apply to Slikk About Slikk Slikk is a Series A fashion quick-commerce startup based in Bangalore, building a new way to shop for fashion - fast, discovery-led, and on-demand. We deliver curated apparel, accessories, and lifestyle products from leading and emerging brands to customers' doorsteps in under 60 minutes. Designed for Gen Z and young urban consumers, Slikk combines feed-based discovery, AI-driven personalization, and hyperlocal logistics to enable high-frequency, impulse-driven shopping.

Our platform integrates real-time inventory, dark store operations, and last-mile delivery to make fashion commerce as instant as food and grocery. Features like Try & Buy and instant refunds reduce friction and build trust in online fashion purchases. Backed by Nexus Venture Partners and Lightspeed, we are scaling rapidly across categories including fashion, beauty, and accessories while building a high-ownership, execution-driven culture with fast decision-making and low process overhead.

About Company

Write a description for your company Function: Software Engineering → Other Software Development Elasticsearch

OpenSearch

Search

Solr Responsibilities: Search Infrastructure Ownership: Own the search platform end-to-end, including: Indexing and data modelling, Query understanding and interpretation, Retrieval mechanisms, ML-powered ranking systems, Result serving infrastructure.

Real-Time Indexing and Data Pipelines: Develop and maintain real-time indexing pipelines to synchronise: Inventory updates, Pricing changes, Product catalogue modifications from dark stores. Ensure search indices remain fresh and accurate to support quick-commerce operations.

Ranking and Personalisation: Design and optimise ranking algorithms that incorporate: Product relevance, User personalisation signals, Inventory availability, Business and merchandising rules. Continuously improve ranking quality to maximise engagement and conversion.

Discovery Experience: Build and enhance discovery capabilities beyond traditional search, including Personalized feeds, Category ranking systems, Similar product recommendations, and "Complete the Look" experiences

Experimentation and Performance Optimisation: Implement A/B testing frameworks to evaluate and improve search experiences. Define, monitor, and optimise key search quality metrics, including MRR (Mean Reciprocal Rank), NDCG (Normalised Discounted Cumulative Gain), CTR (Click-Through Rate), and Conversion Rate. Optimise systems to maintain P95 latency below 200 milliseconds.

Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

5-7 years of experience building production-grade Search/Information Retrieval (IR) systems, preferably in e-commerce environments.

Robust expertise in Elasticsearch/OpenSearch, including: Index design, Custom analyzers, Query DSL, and Performance tuning and optimisation.

Hands-on experience with Machine Learning ranking techniques, such as Learning-to-Rank (LTR), XGBoost, LightGBM, and feature engineering.

Experience with embedding-based retrieval systems, including: FAISS and HNSW.

Strong programming proficiency in Python.

Solid understanding of Natural Language Processing (NLP) concepts for query understanding, including: Tokenisation, Entity extraction, and Intent classification.

Experience working with real-time indexing technologies, such as Kafka and CDC (Change Data Capture).

Familiarity with search quality experimentation and evaluation frameworks. Why Explore a Career at Slikk Build at Hyper Speed Work in one of India's fastest growing lifestyle and quick commerce brands where ideas turn into products instantly.

High Ownership Culture

Every role has real impact, real autonomy and the freedom to lead projects from concept to execution.

Innovation First Mindset

Use AI, motion design, product thinking and creative problem solving to shape the future of instant shopping. Create for Millions Design and build experiences used daily by Gen Z and young professionals in rapid moving cities.

Work With

Energy and Intent Join a team that values hustle, ambition, bold thinking and a bias for action in everything we do. Career at Slikk Why Explore a Career at Slikk Slikk Interview Process Resume screening

1-3 interviews (virtual/in-person)

Final discussion Benefits at Slikk 0 && (!isOpenedInMobile || showSections.benefits)" class="profile-content benefits-container ng-scope"> At Slikk you’ll grow rapid take end-to-end ownership and build high-impact products with a fast-moving execution-driven team.



Slikk's Tech Stack 0 && (!isOpenedInMobile || showSections.techStack)" class="profile-content ng-scope"> Next.js

React.js

React Native

Django

Python

Elasticsearch

AWS

Bigquey

PostgreSQL

Redis Job posted by Sai Sandesh Recruiter at Target HR Similar jobs AI Engineer Mobile Programming Hyderabad Senior Search Engineer Snapmint Bangalore SDE - III Fractal Analytics Bangalore Sr. DevOps Engineer Nected Work From Home Staff Engineer - AI Microsoft Bing Hyderabad SDE 3 Cleartrip Bangalore Senior Platform Engineer Aivar Innovations Bangalore, Coimbatore AI Research Engineer Kahuna Labs Work From Home Function: Software Engineering → Other Software Development Elasticsearch

OpenSearch

Search

Solr Responsibilities: Search Infrastructure Ownership: Own the search platform end-to-end, including: Indexing and data modelling, Query understanding and interpretation, Retrieval mechanisms, ML-powered ranking systems, Result serving infrastructure.

Real-Time Indexing and Data Pipelines: Develop and maintain real-time indexing pipelines to synchronise: Inventory updates, Pricing changes, Product catalogue modifications from dark stores. Ensure search indices remain fresh and accurate to support quick-commerce operations.

Ranking and Personalisation: Design and optimise ranking algorithms that incorporate: Product relevance, User personalisation signals, Inventory availability, Business and merchandising rules. Continuously improve ranking quality to maximise engagement and conversion.

Discovery Experience: Build and enhance discovery capabilities beyond traditional search, including Personalized feeds, Category ranking systems, Similar product recommendations, and "Complete the Look" experiences

Experimentation and Performance Optimisation: Implement A/B testing frameworks to evaluate and improve search experiences. Define, monitor, and optimise key search quality metrics, including MRR (Mean Reciprocal Rank), NDCG (Normalised Discounted Cumulative Gain), CTR (Click-Through Rate), and Conversion Rate. Optimise systems to maintain P95 latency below 200 milliseconds.

Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

5-7 years of experience building production-grade Search/Information Retrieval (IR) systems, preferably in e-commerce environments.

Strong expertise in Elasticsearch/OpenSearch, including: Index design, Custom analyzers, Query DSL, and Performance tuning and optimisation.

Hands-on experience with Machine Learning ranking techniques, such as Learning-to-Rank (LTR), XGBoost, LightGBM, and feature engineering.

Experience with embedding-based retrieval systems, including: FAISS and HNSW.

Strong programming proficiency in Python.

Solid understanding of Natural Language Processing (NLP) concepts for query understanding, including: Tokenisation, Entity extraction, and Intent classification.

Experience working with real-time indexing technologies, such as Kafka and CDC (Change Data Capture).

Familiarity with search quality experimentation and evaluation frameworks. Why Explore a Career at Slikk Build at Hyper Speed Work in one of India's fastest growing lifestyle and quick commerce brands where ideas turn into products instantly.

High Ownership Culture

Every role has real impact, real autonomy and the freedom to lead projects from concept to execution.

Innovation First Mindset

Use AI, motion design, product thinking and creative problem solving to shape the future of instant shopping. Create for Millions Design and build experiences used daily by Gen Z and young professionals in fast moving cities.

Work With

Energy and Intent Join a team that values hustle, ambition, bold thinking and a bias for action in everything we do. Career at Slikk Why Explore a Career at Slikk Slikk Interview Process Resume screening

1-3 interviews (virtual/in-person)

Final discussion Benefits at Slikk 0 && (!isOpenedInMobile || showSections.benefits)" class="profile-content benefits-container ng-scope"> At Slikk you’ll grow fast take end-to-end ownership and build high-impact products with a fast-moving execution-driven team. Slikk's Tech Stack 0 && (!isOpenedInMobile || showSections.techStack)" class="profile-content ng-scope"> Next.js

React.js

React Native

Django





Python

Elasticsearch

AWS

Bigquey

PostgreSQL

Redis Slikk is a Series A fashion quick-commerce startup based in Bangalore, building a current way to shop for fashion - fast, discovery-led, and on-demand. We deliver curated apparel, accessories, and lifestyle products from leading and emerging brands to customers' doorsteps in under 60 minutes. Designed for Gen Z and young urban consumers, Slikk combines feed-based discovery, AI-driven personalization, and hyperlocal logistics to enable high-frequency, impulse-driven shopping.

Our platform integrates real-time inventory, dark store operations, and last-mile delivery to make fashion commerce as instant as food and grocery. Features like Try & Buy and instant refunds reduce friction and build trust in online fashion purchases. Backed by Nexus Venture Partners and Lightspeed, we are scaling rapidly across categories including fashion, beauty, and accessories while building a high-ownership, execution-driven culture with fast decision-making and low process overhead.

Responsibilities: Search Infrastructure Ownership: Own the search platform end-to-end, including: Indexing and data modelling, Query understanding and interpretation, Retrieval mechanisms, ML-powered ranking systems, Result serving infrastructure.

Real-Time Indexing and Data Pipelines: Develop and maintain real-time indexing pipelines to synchronise: Inventory updates, Pricing changes, Product catalogue modifications from dark stores. Ensure search indices remain fresh and accurate to support quick-commerce operations.

Ranking and Personalisation: Design and optimise ranking algorithms that incorporate: Product relevance, User personalisation signals, Inventory availability, Business and merchandising rules. Continuously improve ranking quality to maximise engagement and conversion.

Discovery Experience: Build and enhance discovery capabilities beyond traditional search, including Personalized feeds, Category ranking systems, Similar product recommendations, and "Complete the Look" experiences

Experimentation and Performance Optimisation: Implement A/B testing frameworks to evaluate and improve search experiences. Define, monitor, and optimise key search quality metrics, including MRR (Mean Reciprocal Rank), NDCG (Normalised Discounted Cumulative Gain), CTR (Click-Through Rate), and Conversion Rate. Optimise systems to maintain P95 latency below 200 milliseconds.

Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

5-7 years of experience building production-grade Search/Information Retrieval (IR) systems, preferably in e-commerce environments.

Strong expertise in Elasticsearch/OpenSearch, including: Index design, Custom analyzers, Query DSL, and Performance tuning and optimisation.

Hands-on experience with Machine Learning ranking techniques, such as Learning-to-Rank (LTR), XGBoost, LightGBM, and feature engineering.

Experience with embedding-based retrieval systems, including: FAISS and HNSW.

Strong programming proficiency in Python.

Solid understanding of Natural Language Processing (NLP) concepts for query understanding, including: Tokenisation, Entity extraction, and Intent classification.

Experience working with real-time indexing technologies, such as Kafka and CDC (Change Data Capture).

Familiarity with search quality experimentation and evaluation frameworks. Build at Hyper Speed Work in one of India's fastest growing lifestyle and quick commerce brands where ideas turn into products instantly.

High Ownership Culture

Every role has real impact, real autonomy and the freedom to lead projects from concept to execution.

Innovation First Mindset

Use AI, motion design, product thinking and creative problem solving to shape the future of instant shopping. Create for Millions Design and build experiences used daily by Gen Z and young professionals in fast moving cities.

Work With

Energy and Intent Join a team that values hustle, ambition, bold thinking and a bias for action in everything we do. Resume screening

1-3 interviews (virtual/in-person)

Final discussion At Slikk you’ll grow fast take end-to-end ownership and build high-impact products with a fast-moving execution-driven team.

Next.js

React.js

React Native

Django

Python

Elasticsearch

AWS

Bigquey

PostgreSQL

Redis

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📌 Senior Search Engineer (Bengaluru)
🏢 Nexus Venture Partners
📍 Bengaluru

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