5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant
Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development
Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks
Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout
Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems
Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers
High autonomy, strong ownership, and comfort operating in a fast-moving startup environment
Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations
Based in New York City, or willing to relocate
Experience working with major agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI
Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems
Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management
Track record helping large customers move from POC to production
Experience building internal tools, technical playbooks, demos, or reusable customer-facing assets
Prior experience at a high-growth AI infrastructure, developer tools, or enterprise SaaS company