CoreStory

8 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Build and optimize CoreStory’s narrative intelligence platform by developing LLM-powered systems across RAG pipelines, vector search, prompt orchestration, and agentic features. Collaborate with product, data, and infrastructure teams to prototype, productionize, and evolve the AI stack for accuracy, explainability, and efficiency. Benchmark performance across latency and cost, integrate LLM APIs and knowledge graph components, and deploy scalable AI services in cloud infrastructure.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, implement, and optimize LLM-powered systems including RAG, chat agents, summarizers, and knowledge graph integration.
•Build and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks.
•Implement and maintain vector database solutions for retrieval and search (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search).
•Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) and develop AI-driven features like generative insights and narrative analytics.
•Benchmark model performance, latency, and cost; collaborate with DevOps and backend teams to deploy scalable AI services and maintain internal documentation and evaluation methods.

Pay and Benefits

Perks:Remote WorkEquity

Key Requirements

•7+ years of overall engineering experience, including 3+ years in AI engineering, machine learning, or applied NLP.
•Hands-on experience with LlamaIndex, LangChain, or similar orchestration frameworks.
•Experience designing and implementing vector database solutions (e.g., Pinecone, Neo4j, FAISS, Milvus, Weaviate).
•Solid understanding of LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face, etc.).
•Proficiency in Python with FastAPI, Pandas, or NumPy, plus understanding of RAG patterns, embeddings, and tokenization.

Experience:3+ yearsApplied NLPSaaSEarly-stage startup

Skills:Problem-solvingAnalytical mindsetCollaborationContinuous learning

Languages:English

Tech Stack:PythonFastAPIPandasNumPyLlamaIndexLangChainPineconeNeo4jWeaviateChromaAzure Cognitive SearchFAISSMilvusRAGEmbeddingsTokenizationPrompt engineeringTool callingChat agentsOpenAI

Company Brief

CoreStory

Develops an AI platform that helps organizations turn customer conversations, research, and feedback into actionable insights and stories. The product appears focused on making qualitative data easier to analyze, summarize, and share across teams.

Industry: SaaS

Website

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CoreStory

8 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, implement, and optimize LLM-powered systems including RAG, chat agents, summarizers, and knowledge graph integration.
•Build and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks.
•Implement and maintain vector database solutions for retrieval and search (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search).
•Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) and develop AI-driven features like generative insights and narrative analytics.
•Benchmark model performance, latency, and cost; collaborate with DevOps and backend teams to deploy scalable AI services and maintain internal documentation and evaluation methods.

Pay and Benefits

Perks:Remote WorkEquity

Key Requirements

•7+ years of overall engineering experience, including 3+ years in AI engineering, machine learning, or applied NLP.
•Hands-on experience with LlamaIndex, LangChain, or similar orchestration frameworks.
•Experience designing and implementing vector database solutions (e.g., Pinecone, Neo4j, FAISS, Milvus, Weaviate).
•Solid understanding of LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face, etc.).
•Proficiency in Python with FastAPI, Pandas, or NumPy, plus understanding of RAG patterns, embeddings, and tokenization.

Experience:3+ yearsApplied NLPSaaSEarly-stage startup

Skills:Problem-solvingAnalytical mindsetCollaborationContinuous learning

Languages:English

Tech Stack:PythonFastAPIPandasNumPyLlamaIndexLangChainPineconeNeo4jWeaviateChromaAzure Cognitive SearchFAISSMilvusRAGEmbeddingsTokenizationPrompt engineeringTool callingChat agentsOpenAI

Company Brief

CoreStory

Industry: SaaS

Website