Head of Engineering
New
C
CoreStoryAI Engineering
Remote USFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 10+ years of experience in software or AI engineering, including 5+ years in a leadership role.
- Required Skills
- PythonFastAPILangChain
Requirements
- 10+ years of experience in software or AI engineering
- 5+ years in a leadership role
- Demonstrated experience working directly with customers (e.g., enterprise clients, design partners, or production users)
- Track record of hiring and developing strong engineers and building team cultures
- Proven ability to translate customer needs into engineering priorities
- Proven experience leading teams building agentic systems
- Expertise in designing and building a from-scratch implementation of an agent network
- Strong understanding of Agent Harnesses
- Strong understanding of RAG architectures
- Strong understanding of embedding pipelines
- Strong understanding of tokenization
- Demonstrated success leading end-to-end delivery of AI features in production environments
- Excellent communication, collaboration, and leadership skills
- Deep hands-on expertise with frameworks such as LlamaIndex, LangChain, or similar orchestration tools (Preferred)
- Proficiency in Python, including libraries such as FastAPI, Claude SDK, DSPy (Preferred)
- Experience leading AI initiatives in startup or SaaS environments (Preferred)
- Familiarity with knowledge graphs, and hybrid IR systems (Preferred)
- Background in LLM evaluation, AI observability, or model performance optimization (Preferred)
Responsibilities
- Lead and grow the engineering team — hire, mentor, and develop engineers across product, platform, and infrastructure disciplines
- Build a culture of ownership, craft, and continuous improvement, where engineers deeply understand and empathize with customers
- Champion AI-native engineering practices
- Define and own the AI engineering roadmap, aligning technical direction with company and product strategy
- Oversee architecture and implementation of LLM-driven systems, including retrieval-augmented generation (RAG), chat agents, and semantic search pipelines
- Champion best practices for model evaluation, and AI feature integration
- Evaluate, integrate, and optimize LLMs (e.g., GPT, Claude, Llama, Mistral) for production use cases
- Collaborate with engineering leadership to ensure scalability, performance, and reliability across CoreStory’s Platform
- Foster a strong culture of experimentation, learning, and innovation across the engineering team
- Stay ahead of emerging trends in LLMs, RAG architectures, and AI frameworks — translating research into product-ready capabilities
- Own delivery velocity and execution — establish engineering processes, sprint cadences, and delivery practices
- Driving ownership of customer-facing engineering issues end-to-end
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