AI Ops

A.Team • New York, NY

2d

About The Position

As a Forward Deployment Engineer (FDE) on our AI Solutions Team, you'll be the spearhead for bringing bold ideas to life — rapidly transforming concepts into working, AI-driven prototypes and production-grade systems that showcase what's possible. You'll thrive at the 0→1 stage, then carry solutions through to enterprise-grade deployment. You'll partner directly with clients, product managers, designers, and AI researchers to prototype, harden, and deploy AI solutions with speed and precision. This is a highly visible, client-facing role where your work directly shapes proposals, accelerates customer buy-in, and sets the foundation for long-term product success. This isn't just about writing code — it's about owning outcomes end-to-end: sitting with the client, breaking down ambiguous goals, applying product thinking, and building solutions that make people say "wow" in days, not months.

Requirements

• Exceptional Client-Facing Communication: You can run a client meeting, defuse tension, set expectations, and explain a tradeoff to a non-technical executive without losing the technical audience in the room.
• Enterprise-Grade Platform Experience: Demonstrated experience designing and shipping production systems for real users — auth, multi-tenancy, observability, security, reliability — not just demos.
• Strong TypeScript and Python Proficiency: Comfortable owning full-stack work across both languages; able to move between a Next.js/Node frontend and a Python AI/data backend without friction.
• Deep Hands-On AI Systems Experience: Built and shipped systems using LLMs, RAG, embeddings, evals, and modern orchestration frameworks. You understand the difference between a prompt that works once and a system that works at scale.
• Proficiency with AI Productivity Tools: You don't just use coding agents and AI tools — you've integrated them into your own workflow in a way that meaningfully changes your output.
• 0→1 Product Mindset: Experience building products from scratch — comfortable with ambiguity, scoping MVPs, and iterating quickly based on real client feedback.
• End-to-End Ownership: Not just a coder. You define the problem, architect the solution, and execute it.
• Problem-Solving and Innovation: Track record of finding creative paths through hard, ambiguous problems.
• Collaboration: A genuine team player who raises the level of everyone around them.

Nice To Haves

• Experience working in consulting, forward-deployed, or solutions engineering roles at AI-first companies (Palantir, Tribe AI, Distyl, Scale AI, Ramp, etc.).
• Background bridging software engineering and product management.
• Experience presenting to or co-selling with enterprise stakeholders.
• Open-source contributions or public technical writing in the AI/ML space.

Responsibilities

• Rapidly build working demos and prototypes in TypeScript and Python to validate ideas and proposals, winning hearts and minds in record time.
• Take prototypes from demo to production — designing scalable, secure, observable systems that hold up to Fortune 500 client requirements.
• Break down customer problems into clear goals, design data flows and AI systems (RAG, LLM orchestration, agentic workflows, evals, fine-tuning), and deliver functional, deployed solutions.
• Lead working sessions, demos, and technical discussions with stakeholders ranging from engineering counterparts to executive sponsors. Translate technical decisions into business outcomes and vice versa.
• Use modern AI coding and productivity tools (Claude Code, Cursor, Copilot, agentic dev environments) as a force multiplier — and help define how the team gets the most out of them.
• Work closely with product managers (acting as solution partners), designers, AI researchers, and the platform team to turn abstract problems into tangible, tested products.
• Move fast, but ship code that's tested, observable, and ready for the next stage of the engagement.
• Apply modern AI engineering practices — data pipelines, retrieval systems, LLM evaluation, prompt and context engineering, fine-tuning — to create novel, AI-powered product experiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed