AI Engineer

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🕒 February 25

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CoreStory

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

🔥 Funding within the last year

💰 $32M Series A on 2025-11

Artificial Intelligence • SaaS • Enterprise

CoreStory is a SaaS platform that builds a persistent, code-grounded specification layer and intelligence model for large, complex codebases. It continuously ingests source code and related artifacts to create a durable, queryable understanding of system architecture, workflows, business rules, and intent, and serves that context to engineers, product teams, and AI agents across tools. CoreStory is used for legacy modernization, application maintenance, developer onboarding, and AI-assisted code generation, helping reduce risk, speed delivery, and preserve institutional knowledge.

📋 Description

• Design, implement, and optimize LLM-powered systems (e.g., RAG, chat agents, summarizers, knowledge graph integration). • Build and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks. • Implement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search). • Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) into the CoreStory Platform. • Develop and refine AI-driven features — including generative insights, automated summarization, and narrative analytics. • Collaborate with DevOps and backend teams to deploy scalable AI services within CoreStory’s cloud infrastructure. • Continuously benchmark model performance, latency, and cost, identifying opportunities for optimization. • Stay current with advancements in AI — from model architectures to emerging frameworks — and propose innovative applications aligned with CoreStory’s mission. • Contribute to internal documentation, experimentation frameworks, and evaluation methodologies.

🎯 Requirements

• 7+ years of overall engineering experience with at least 3+ years of experience in AI engineering, machine learning, or applied NLP. • Strong 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 experience in libraries such as FastAPI, Pandas, or NumPy. • Understanding of retrieval-augmented generation (RAG) patterns, embeddings, and tokenization. • Familiarity with prompt engineering, tool calling, and chat agent architectures. • Strong problem-solving and analytical mindset, with attention to performance and scalability. • Demonstrated interest in staying up-to-date with the fast-evolving AI landscape. • Experience deploying AI services in production (e.g., using Docker, Azure, or AWS).

🏖️ Benefits

• Competitive compensation and equity. • Flexible, remote-first work environment. • Opportunities to define and build the AI roadmap of a fast-growing technology company. • Collaborative, learning-oriented culture. • Access to cutting-edge AI models, research, and infrastructure.