LLM Engineer

We are looking for an LLM Engineer who is ready to get their hands dirty immediately.

You will partner with our current high-performance team to ship product features fast.

The Role: Builder First, Architect Second

This is not an "ivory tower" architecture role. You must be ready to contribute code from Day 1. We need a leader who thrives in ambiguity, makes rapid decisions, and balances "perfect

architecture" with the startup reality of "shipping today."

You will act as the engine of our engineering team---transforming broad business goals into working software with minimal friction.

Key Responsibilities

1. Immediate Contribution & Velocity

• Ship Fast: You will code core features of the AI platform immediately. We expect deployments to happen daily, not monthly.
• Rapid Prototyping: Quickly build and iterate on Agentic workflows (using LangChain/LangGraph) to test product hypotheses. You know when to build an "MVP" and when to build "Enterprise Grade."
• Bias for Action: Eliminate analysis paralysis. You will make technical trade-offs quickly to keep the team moving forward.

2. Python-Centric Engineering

• Hands-On Coding: Serve as the primary contributor to our Python codebase. You will write clean, asynchronous code (FastAPI, AsyncIO) that handles complex agent orchestration.
• Production AI: You won't just tweak prompts; you will build the serving infrastructure, vector retrieval pipelines (RAG), and evaluation loops that make our agents reliable in production.

3. Strategic Scalability

• Evolving Architecture: While you ship fast, you will ensure we don't code ourselves into a corner. You will design event-driven systems (NATS/Kafka) that allow us to scale 10x without a rewrite.
• Owner Mindset: You will treat the product as your own. This means caring about "Unit Economics" and "Cost of Delay" as much as code quality.

Requirements

The "Startup DNA"

• Readiness to Contribute: You are comfortable jumping into an existing codebase and pushing commits within your first week.
• Adaptability: You thrive in an environment where priorities can shift.
• Pragmatism: You understand that "Done" is better than "Perfect." You focus on business value over over-engineering.

Technical Expertise

• Python Mastery: Expert-level Python skills are non-negotiable. You know the ecosystem (Pydantic, Poetry, FastAPI) inside and out.
• AI Engineering: Experience building actual products with LLMs (not just tutorials). You understand the challenges of context windows, latency, and hallucination.
• Architecture background: 10 years in engineering, with a track record of designing systems that survived rapid scaling. Experience with Microservices and Event-Driven Architecture.
• Infrastructure: Solid grasp of AWS and Kubernetes---you can fix a broken pipeline or deploy a container without waiting for a dedicated DevOps engineer.

What We Offer

• High Impact: No bureaucracy. Your code goes to production. Your decisions shape the company.
• Growth: A fast-track path to be a key person on the product.
• Culture: A team of senior experts who value "Delivery in 1 Second" and relentless improvement. We work hard, move fast, and measure results.