Job Title: Senior OpenSearch Engineer eCommerce Search & AI Solutions

Location: Bangalore/Remote

Experience: 5 10 Years

Budget As per the market

About the Role

We are looking for a highly skilled OpenSearch Engineer to build and optimize next-generation search experiences for our eCommerce platform. The ideal candidate will possess deep expertise in OpenSearch/Elasticsearch, vector search, semantic retrieval, and Amazon Bedrock-based GenAI solutions.

This role will be responsible for designing scalable search architectures that combine traditional keyword search with AI-powered semantic search, recommendation systems, and Retrieval-Augmented Generation (RAG) capabilities to enhance product discovery and customer experience.

Key Responsibilities

Search Platform Engineering

- Design, deploy, and manage enterprise-scale OpenSearch clusters.
- Build high-performance search solutions for product discovery, category browsing, filtering, autocomplete, and recommendations.
- Define and maintain index mappings, analyzers, tokenizers, synonyms, and ranking strategies.
- Optimize query performance, relevance scoring, aggregations, and search latency.
- Implement real-time and near real-time indexing pipelines for products, inventory, pricing, promotions, and customer data.

Vector Search & Semantic Search

- Design and implement vector indexing strategies using OpenSearch vector engine.
- Build semantic search capabilities using embeddings generated from foundation models.
- Configure and optimize:
- Dense vectors
- k-NN search
- Approximate Nearest Neighbor (ANN)
- Hybrid search (keyword + vector search)
- Similarity search

- Implement product recommendations, related products,



and personalized search experiences using vector embeddings.
- Evaluate search quality using relevance metrics and semantic retrieval benchmarks.

Generative AI & Amazon Bedrock

- Integrate OpenSearch with Amazon Bedrock Foundation Models.
- Develop Retrieval-Augmented Generation (RAG) solutions for conversational commerce and intelligent product discovery.
- Generate embeddings using Bedrock-supported models such as:
- Amazon Titan Embeddings
- Cohere Embed Models
- Anthropic Claude (for AI-assisted search applications)

- Build AI-powered use cases:

- Natural language product search
- Conversational shopping assistants
- Product recommendation systems
- Catalog enrichment and metadata generation

- Optimize embedding pipelines, chunking strategies, and vector retrieval performance.

Platform Operations

- Monitor cluster health, indexing performance, and search analytics.
- Troubleshoot production issues and ensure high availability.
- Implement backup, disaster recovery, and security best practices.
- Automate deployments using CI/CD pipelines and Infrastructure-as-Code.

Cross-functional Collaboration

- Partner with Product, Data Science, Merchandising, and Engineering teams to improve search relevance and conversion rates.
- Conduct performance tuning and capacity planning exercises.




- Drive best practices for search architecture and AI-powered search solutions.

Required Skills

OpenSearch & Search Engineering

- 5+ years of experience with OpenSearch or Elasticsearch.
- Solid knowledge of:
- Query DSL
- Aggregations
- Index lifecycle management
- Search relevance tuning
- Analyzers and tokenizers
- Sharding and replication
- OpenSearch Dashboards/Kibana

Vector Search & AI Search

- Hands-on experience with:
- Vector databases and vector indexing
- Embedding generation
- Semantic search
- Retrieval systems
- Hybrid search architectures
- RAG implementations

- Experience implementing:

- k-NN
- ANN algorithms
- Similarity ranking
- Embedding lifecycle management

Amazon Bedrock & GenAI

- Experience with Amazon Bedrock services and APIs.
- Knowledge of:
- Foundation Models
- Prompt Engineering
- Embedding Models
- Knowledge Bases
- Agentic AI workflows

- Experience integrating Bedrock with OpenSearch for semantic retrieval and GenAI applications.

Software Development

- Strong programming skills in:
- Java
- Python
- Node.js
- Go (preferred)

- Experience building microservices and REST APIs.
- Understanding of distributed systems and scalability concepts.

Cloud & DevOps

- AWS Services:
- OpenSearch Service
- Bedrock
- Lambda
- ECS/EKS
- DynamoDB
- S3
- API Gateway

- Docker and Kubernetes.
- CI/CD tools and Infrastructure-as-Code (Terraform/CloudFormation).

eCommerce Domain Expertise

- Product Catalog Search
- Merchandising Search
- Faceted Navigation
- Personalized Recommendations
- Semantic Product Discovery
- Conversational Commerce

Search Analytics & Conversion Optimization

📌 Senior OpenSearch Engineer – eCommerce Search & AI Solutions (Bengaluru)
🏢 Arminus
📍 Bengaluru