AI Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Early From the posting source checked Jun 20, 2026

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Engineer Remote US 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

Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.