Software Engineer

Caterpillar Inc.

Bengaluru

On-site

INR 1,800,000 - 2,800,000

Full time

9 days ago

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Job summary

Caterpillar Inc. in Bengaluru invites you to shape the future of search and AI for our ecommerce platforms. You will design and optimize OpenSearch architectures, implement vector and semantic search, and integrate GenAI features with Bedrock to deliver smarter product discovery.

You will collaborate with platform engineers, data scientists, and product teams to build scalable, reliable search experiences, monitor performance, and drive improvements across the catalog and recommendations.

Qualifications

5+ years of experience with OpenSearch/Elasticsearch.
Strong knowledge of Query DSL and aggregations.
Index lifecycle management knowledge.
Search relevance tuning and analyzers.
Sharding and replication expertise.

Responsibilities

Design, deploy, and manage enterprise‑scale OpenSearch clusters.
Build high‑performance search solutions for product discovery 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 catalog and data.

Skills

OpenSearch/Elasticsearch

Vector search

GenAI integration

Java/Python/Node

Distributed systems

Job description

Job Description

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Career Area

Technology, Digital and Data

Job Description

Your Work Shapes the World at Caterpillar Inc.

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.
Strong 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