Chennai, Tamil Nadu, India
Information Technology
Full-Time
The Goodstack Company
Overview
An SF based startup is looking to hire a Senior AI Engineer. The role is fully remote.
Here's What The Day-to-day Responsibilities Will Look Like -
Design and implement conversational AI agents using LLMs
Build RAG pipelines to process e-commerce data
Optimize prompt engineering for accuracy and cost efficiency
Create data ingestion pipelines for various formats (CSV, Excel, APIs)
Implement opportunity detection algorithms
Ensure system scalability for processing 10,000+ SKUs
Collaborate on architecture decisions
Here are some key traits that we are looking for -
LLM Engineering Experience
Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Generation) implementation Experience working with LLMs like OpenAI API, Anthropic Claude, or similar Understanding of token optimization and context window management
Vector Database & Embeddings
Hands-on experience with Pinecone, Weaviate, Qdrant, or pgvector Understanding of embedding models and semantic search Experience with chunking strategies for documents
Data Pipeline Experience
ETL/data ingestion from CSVs, APIs, databases Data normalization and schema mapping Experience with real-time data processing
Here's What The Day-to-day Responsibilities Will Look Like -
Design and implement conversational AI agents using LLMs
Build RAG pipelines to process e-commerce data
Optimize prompt engineering for accuracy and cost efficiency
Create data ingestion pipelines for various formats (CSV, Excel, APIs)
Implement opportunity detection algorithms
Ensure system scalability for processing 10,000+ SKUs
Collaborate on architecture decisions
Here are some key traits that we are looking for -
LLM Engineering Experience
Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Generation) implementation Experience working with LLMs like OpenAI API, Anthropic Claude, or similar Understanding of token optimization and context window management
Vector Database & Embeddings
Hands-on experience with Pinecone, Weaviate, Qdrant, or pgvector Understanding of embedding models and semantic search Experience with chunking strategies for documents
Data Pipeline Experience
ETL/data ingestion from CSVs, APIs, databases Data normalization and schema mapping Experience with real-time data processing
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