Forward Deployed Software Engineer
- Location
- New York City
- Workplace
- Hybrid
- Compensation
- $125k – $185k + equity
- Visa
- No Visa Sponsorship
About this role
Forward Deployed Software Engineers at Adé AI blend world-class software engineering with general problem solving skills and entrepreneurial instincts. Our engineers work directly with clients to build, customize, and integrate our software solutions into their specific environments, ensuring high-impact results through hands-on execution. Every day brings a new engineering challenge as you own the end-to-end technical solution, from data ingestion to front-end deployment. On any given day an Adé FDSWE may be building a production-grade data pipeline to unify disparate systems, vibe coding a custom front-end application to tackle a particularly challenging user workflow, or optimizing AI & ML model performance on a client's specific use case. Our FDSWEs work alongside and are supported by the Implementation Leads (product manager/consultant/hands on keys hacker).
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.
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Culture & values
Focus on building a major player in the applied AI space over the next 10 years
Mission-driven approach to helping organizations beyond tech industry benefit from AI
Strong founding team with experience from top companies like Google, Palantir, McKinsey, and Harvard Business School
Portfolio-based scaling strategy emerging from services team innovations
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