---
title: 'AI Engineer at CoreStory'
canonical: 'https://feeny.ai/job/ai-engineer-corestory-united-states-eg8j81fyy22n'
type: 'job'
last_seen: '2026-09-16'
---

# AI Engineer at CoreStory

- **Company:** CoreStory
- **Location:** United States
- **Work type:** remote
- **Posted:** 2025-11-17
- **Last confirmed live:** 2026-09-16
- **Apply:** https://job-boards.greenhouse.io/corestory/jobs/4984207007

## Job description

## About CoreStory

CoreStory unlocks the hidden intelligence in your legacy code. By using AI to surface business logic and technical insights, we give enterprises the clarity to modernize faster, maintain apps smarter, and reduce the risk of costly failures.

We’re looking for an AI Engineer who is passionate about building intelligent systems that blend large language models, retrieval architectures, and conversational agents into cohesive, scalable products. This role is critical to the core AI engine powering the CoreStory Platform.

## Role Overview

As an AI Engineer, you’ll play a central role in developing and optimizing the AI components that power CoreStory’s narrative intelligence platform. You’ll work across LLM integration, vector search systems, prompt orchestration, agentic systems, and retrieval-augmented generation (RAG) pipelines.

You’ll collaborate closely with the product, data, and infrastructure teams to prototype, productionize, and continuously evolve our AI stack — ensuring that our systems are accurate, explainable, efficient, and on the cutting edge of modern AI capabilities.

## Key Responsibilities

- 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.

## Qualifications

Required Skills:

- 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.

Preferred:

- Experience deploying AI services in production (e.g., using Docker, Azure, or AWS).
- Exposure to LangGraph, semantic search, or hybrid RAG systems.
- Familiarity with knowledge graphs, document intelligence, or multimodal AI.
- Previous experience in SaaS or early-stage startup environments.

## What We Offer

- 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.

## About CoreStory

## Company Overview
- **One-liner**: CoreStory builds a persistent code intelligence platform that ingests source code to create a living specification layer for humans and AI agents, enabling faster modernization, onboarding, and governance of complex software systems.
- **Entity Type**: Private (Series C, last raised November 2024)
- **Headquarters**: Berkeley, California, United States
- **Founded**: 2025 (as CoreStory; predecessor Crowdbotics was founded in 2017)
- **Founders**: Anand Kulkarni (CEO)

## Core Business
- **Primary industry**: Code Intelligence / AI-powered Developer Tools
- **Target customers**: Enterprise engineering teams (B2B), Fortune 500 companies, and organizations with large, complex legacy codebases
- **Mission or purpose**: “Bring intelligence and understanding to your code, to support system modernization, developer onboarding, and application governance.”

## Products & Services
- **[CoreStory Platform](https://corestory.ai/)**: A SaaS platform that continuously ingests code, builds a persistent intelligence model (including business rules, workflows, architecture, and developer intent), and serves accurate system context on demand. Integrates via MCP/API with AI coding agents like Claude Code, Codex, Devin, GitHub Copilot, and Cursor Composer. Designed for legacy app modernization, application maintenance, technical debt management, and developer onboarding.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: **Total Funding** – $114.1M (8 rounds, including Series B of $40M led by NEA in 2023, and Series C in 2024 with 1 investor)
- **Notable Investors/Partners**: New Enterprise Associates (NEA), Homebrew, Bee Partners, Jackson Square Ventures, SineWave Ventures, Tribeca Venture Partners
- **Growth Signals**: Reports a 51% improvement in tasks completed correctly by AI agents when using CoreStory; claims a 70% reduction in token spend; operates in 5 countries (US, Canada, Serbia, Pakistan, Portugal); headcount of approximately 45 employees (Built In) or 23 (LinkedIn) – likely growing post-Series C.

## Competitive Advantages
- **Persistent, compounding intelligence** – Unlike disposable context per session, CoreStory builds a durable understanding that survives turnover and compounds over time.
- **Multi-model intelligence** – Captures business rules, system relationships, and developer intent, not just code syntax.
- **Proven performance gains** – Boosts AI coding agent success rates by up to 51% and reduces token spend by 70%, lowering cost per task.
- **Enterprise-grade** – Supports complex, long-lived codebases and integrates with existing AI agent ecosystems.

## Strategic Focus
- **Legacy app modernization and migration** – Helping enterprises turn legacy code into a documented, queryable asset.
- **AI agent enablement** – Providing accurate, persistent context to make AI coding agents more reliable and effective.
- **Developer productivity** – Reducing onboarding time and technical debt through deep code understanding.
- **Enterprise governance** – Enforcing application governance and reducing risk during modernization.

## Why Work Here
- **Remote-first culture** – 100% remote company with periodic in-person offsites. Employees work from wherever they are most productive.
- **Stock options** – Early-stage startup equity for all employees.
- **Competitive benefits** – Medical, dental, vision, FSA, childcare benefits, generous parental leave, home-office stipend, unlimited discretionary time off, and a “Winter Break” time-off policy.
- **High-impact environment** – Small teams with broad scope; influence product, strategy, and customer success from day one.
- **Talent density** – Work alongside exceptional engineers and leaders who value curiosity, ownership, and grit.
- **Cutting-edge tech** – Solve hard problems in code intelligence, AI, and software modernization.
- **Diversity & inclusion** – Documented equal pay policy, highly diverse management team, and mean gender pay gap below 10%.

## Sources
1. [corestory.ai – Homepage](https://corestory.ai/)
2. [corestory.ai – Careers](https://corestory.ai/careers)
3. [corestory.ai – About](https://corestory.ai/about)
4. [builtin.com – CoreStory Profile](https://builtin.com/company/corestory)
5. [linkedin.com – CoreStory](https://www.linkedin.com/company/corestoryai)

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