Forward-Deployed AI Engineer (TypeScript, Python)
Summary
Senior forward-deployed engineer who owns client AI projects end-to-end — from business problem through architecture, build, integration, and deployment — for US mid-market and enterprise clients. Hands-on with TypeScript/Python, cloud and enterprise infrastructure, and production AI agents built using agentic coding tools.
B2B, remote, US Eastern Time clients, 2 calls per week with the team.
About the Role
We are looking for a Senior Forward Deployed Engineer who combines strong hands-on engineering, enterprise infrastructure expertise, and executive presence.
You will work directly with US-based mid-market and enterprise clients, understand complex business problems, design the technical solution, build and deploy it, integrate it into existing enterprise environments, and remain the trusted technical point of contact.
This is not a ticket-based engineering role. You will own the full journey:
Business Problem → Architecture → Build → Integration → Deployment → Client Outcome
What You'll Do
Own client projects end-to-end with minimal handholding
Turn ambiguous business problems into technical solutions
Design and build production AI agents, applications, automations, integrations, and data pipelines
Work with complex enterprise infrastructure, ERP systems, data warehouses, APIs, and cloud environments
Make architecture and infrastructure decisions independently
Use AI coding tools to build and ship quickly
Work directly with client IT teams and senior stakeholders
Lead client meetings and clearly explain technical decisions, progress, risks, and next steps
What We're Looking For
Strong Engineering & Architecture
Approximately 7–12+ years of software engineering experience; flexible for exceptional candidates
Strong hands-on development experience with TypeScript/JavaScript and Python
Experience with technologies such as Next.js, PostgreSQL, Supabase, and APIs
Ability to independently design system architecture and ship production software
Former CTOs, Tech Leads, architects, founders, and consultants are welcome if they are still hands-on
Enterprise Infrastructure
Strong enterprise infrastructure experience is a key requirement.
You should have experience with:
AWS, Azure and/or GCP
ERP systems and enterprise integrations
Data warehouses and data pipelines
Microsoft/enterprise environments
Authentication, security, and APIs
Complex or legacy enterprise systems
You should be able to confidently discuss architecture and infrastructure with a client's IT team. This was explicitly highlighted by the hiring manager as increasingly important.
AI-Native Engineering
You should already use tools such as Claude Code, Codex, Cursor, or similar agentic coding tools as part of your normal development workflow.
Production experience with several of the following is expected:
LLM APIs · AI Agents · RAG · Vector Databases · MCP · Agent Frameworks · AI Automations
We care especially about how you work with AI—context, documentation, agents/sub-agents, code review, testing, and QA.
Executive Presence
This is a highly client-facing position.
You must have:
Excellent spoken and written English
Strong confidence and executive presence
Experience communicating with senior client stakeholders
Ability to explain complex technical topics in business language
Confidence leading meetings with executives, operations teams, and enterprise IT
Ability to become a trusted technical advisor rather than relying on someone else to manage the client relationship
The client specifically wants engineers who can independently represent the technical work in senior stakeholder meetings.
You're a Strong Fit If
You are a hands-on senior engineer who thinks like an architect, operates like an owner, and communicates like a consultant.
You don't wait for detailed specifications. You can understand the business problem, decide what should be built, build it, integrate it into a complex enterprise environment, and confidently present the result to the client.