Forward Deployed Software Engineer

Our FDSWEs are jacks of all trades. You don’t need to be an expert in every category, but you must be a fast learner with a high general comfort level across different technologies.

• System Design & Strategy: Lead technical decision-making on what to build and when to build it to meet specific client mission requirements.

• Data Engineering: Build and maintain production-grade data pipelines to ingest, clean, and unify disparate client data sources.

• AI & Context Engineering: Own the LLM stack—including prompt/context engineering, building RAG workflows, and performing robust AI evaluations.

• Applied ML/DS: Implement classical ML and data science techniques to process unstructured data and optimize model performance.

• Frontend Applications: Architect and deploy React-based applications using modern AI tooling, with custom UIs tailored to solve business problems.

• Technical Delivery: Partner with Implementation Leads to integrate solutions directly into client environments and resolve high-stakes bottlenecks.

• Mission Reliability & On-Time Delivery: Own production monitoring and alerting to ensure system uptime, while partnering with Implementation Leads to manage overall project timelines.

Seniority:
1 - 5 years of experience as a software engineer, building customer-​facing applications

Work experience:
Experience at high growth Startups
Demonstrated interest in cross-functional or entrepreneurial activities
Experience seeing best practices at a large, structured company (e.g.,FAANG, Epic Systems)
Experience in 'hard hat' industries (e.g., manufacturing, mining, construction) given overlap with customer base
AI Intuition: Hands-on experience with LLM orchestration in production use cases and a deep understanding of RAG patterns.

Education
CS degree or related field
GPA above 3.5, or a clear explanation for a lower GPA

Hard skills
Proficiency with React for front-end development

Miscellaneous
Excitement about AI and signs of experimentations + incorporating tools into workflow
Must be able to work in a hybrid model in NYC.
Willingness to travel to client sites up to 50% of the time
Multi-disciplinary/entrepreneurial interests