🚀 HIRING: Forward Deployed Engineer (FDE) — AI / Agentic Systems
📍 Location: Midtown Manhattan, New York City
🏢 Work Model: Hybrid — Monday–Thursday in office
💼 Employment: Full-time
💰 Base Salary: $150,000–$200,000 + Competitive Equity
👥 Visa: Visa sponsorship is available
About the Opportunity
We are hiring Forward Deployed Engineers to join a fast-growing, AI-native technology company building autonomous AI agents for the healthcare recruiting industry.
The company is developing AI-powered systems that automate significant portions of the recruiting lifecycle, helping healthcare organizations hire faster, reduce recruiting overhead, and fill critical clinical roles more efficiently.
The platform already supports thousands of candidate conversations each month and is scaling toward significantly higher volumes.
This is an opportunity to join a lean, high-velocity engineering team where individual engineers have substantial ownership and direct impact on customers, product development, and business outcomes.
About the Role
We are looking for technically strong Forward Deployed Engineers with 4–6 years of total professional experience, including:
- 2+ years of Forward Deployed Engineering experience
- 2+ years of full-stack software engineering experience
You'll operate at the intersection of software engineering, applied AI, and customer delivery.
You will own the complete lifecycle of AI agent implementations — from customer discovery and requirements gathering through deployment, production monitoring, optimization, and ongoing iteration.
This role is ideal for an engineer who enjoys both building production software and working directly with customers.
What You'll Do
🔹 Build & Deploy AI Agents
- Build, deploy, and iterate on AI interviewer agents.
- Work across Python, JavaScript, APIs, and agentic pipelines.
- Develop reliable AI-powered solutions for real-world production environments.
- Integrate AI systems into customer workflows.
🔹 Own Customer Deployments End-to-End
- Lead technical discovery with customers.
- Understand customer requirements and translate them into technical solutions.
- Own implementations from 0→1 through production.
- Drive onboarding and successful go-live.
- Support customers throughout the post-deployment lifecycle.
🔹 Monitor & Improve Production Systems
- Monitor deployed AI agents and production performance.
- Identify issues and opportunities for improvement.
- Analyze agent behavior and performance.
- Gather customer feedback.
- Rapidly implement and ship improvements.
🔹 Partner With Product & Engineering
- Collaborate closely with the core engineering team.
- Identify product capabilities required by customers.
- Contribute directly to the production codebase.
- Help shape product development based on real-world deployment requirements.
Required Experience
We're looking for candidates with:
✅ 4–6 years of total professional experience
Including:
✅ 2+ years of Forward Deployed Engineering experience
✅ 2+ years of full-stack software engineering experience
Technical Requirements
Strong hands-on experience with:
- Python
- JavaScript
- REST/API development
- Data pipelines
- Evaluation frameworks / eval harnesses
- Testing frameworks
- Full-stack software engineering
- LLM-powered applications
- Agentic pipelines
- Prompt engineering
Experience working with modern LLM technologies such as GPT, Claude, Gemini, LLaMA, or Mistral is highly relevant.
AI / Conversational AI Experience
Experience with voice or conversational AI systems is particularly valuable.
Ideal candidates may have worked with:
- Real-time AI systems
- Voice AI
- Conversational agents
- LLM agents
- High-volume AI applications
- Production conversational workflows
- AI evaluation and monitoring
- Agent performance optimization
Customer-Facing Experience
This is not a purely backend or internal engineering position.
You should be comfortable working directly with customers and stakeholders and be able to:
- Lead technical discovery
- Gather and clarify requirements
- Translate business needs into technical solutions
- Communicate effectively with technical and non-technical stakeholders
- Drive customer onboarding
- Manage technical implementations
- Take deployments through production
- Gather feedback and convert it into product improvements
Startup Experience
Prior startup or early-stage company experience is strongly preferred.
Candidates coming from Big Tech environments may also be considered, particularly if they have demonstrated experience in a startup, scrappy environment, or early-stage product team where they had significant ownership and operated with speed and ambiguity.
Education
🎓 Bachelor's degree in:
- Computer Science
- Engineering
- Mathematics
- Or another closely related technical discipline
Ideal Candidate Profile
We're looking for an engineer who is:
⚡ Hands-on — comfortable writing production code and solving problems independently.
🤝 Customer-oriented — able to work directly with customers and understand their needs.
🧠 Technically strong — experienced across full-stack engineering and applied AI.
🚀 High-velocity — comfortable working in a fast-moving startup environment.
🔧 Ownership-driven — capable of taking a deployment from initial requirements through production.
🎯 Outcome-focused — motivated by customer and business impact rather than simply completing assigned tickets.
💬 Strong communicator — able to translate ambiguous requirements into practical technical solutions.
Why This Opportunity?
This role offers the opportunity to work on real-world AI systems at meaningful production scale.
You'll have the chance to:
- Build and deploy AI agents
- Work directly with customers
- Solve complex real-world problems
- Influence product capabilities
- Work across AI and full-stack engineering
- Own projects from 0→1 to production
- Operate in a highly entrepreneurial environment
- Make a direct impact on how healthcare organizations recruit
Compensation & Work Arrangement
💰 Salary: $150,000–$200,000
📊 Equity: Competitive
📍 Location: Midtown Manhattan, NYC
🏢 Hybrid: Monday–Thursday in office
💼 Employment: Full-time
👥 Openings: 3–4 positions
📩 How to Apply
If you're a Forward Deployed Engineer with strong full-stack engineering experience, hands-on AI/LLM experience, and a passion for working directly with customers, we'd love to hear from you.
Please apply with your updated CV/resume highlighting relevant experience in:
- Forward Deployed Engineering
- Full-stack software engineering
- Python / JavaScript
- AI / LLM applications
- Agentic systems
- Voice or conversational AI
- Customer-facing technical deployments
- Production implementations
📩 Apply now or message us directly to learn more about the opportunity.
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