AI Product Engineer

Build the system that thinks. Own the engine that powers it.

At Logix,(Fort Hill) we are redefining how the world understands complex, high-stakes documents contracts, financial records, regulatory filings. We are building an AI-native document intelligence platform that transforms unstructured chaos into structured, auditable truth powered by multi-agent systems, human-in-the-loop workflows, and both frontier and open-source AI models. We are looking for a Product Engineer to lead the backend and take full ownership. We need someone who doesn't just plug APIs together, but helps shape the intelligence layer itself.

Why This Role Is Different

This is a global role. You will collaborate across time zones with a high-caliber team spanning engineering, AI, audit, and product.

We operate on:

·         Ownership over tasks

·         Accountability over activity

·         Impact over optics

You build it → you own it → you evolve it.

What You will Own-Responsibilities

AI Orchestration, Models & Intelligence Layer

·         Design and scale end-to-end AI pipelines from ingestion to structured outputs.

·         Work across both proprietary (OpenAI, Anthropic) and open-source models.

·         Experiment with and optimize locally deployed models (e.g., NVIDIA stack, on-device inference,

fine- tuning workflows).

·         Contribute to model selection, evaluation, and training strategies not just consumption.

·         Build human-in-the-loop systems where AI meets expert validation.

Backend Systems & APIs

·         Architect and own FastAPI services across the full document lifecycle.

·         Build clean, scalable APIs powering internal systems and external integrations.

·         Own async-first backend architecture with PostgreSQL/Supabase.

Infrastructure, Scale & Reliability

·         Build resilient async task orchestration systems:

-Retry logic

-Dead-letter queues

-Concurrency control

-Failure recovery

·         Own and evolve CI/CD pipelines (Docker, AWS ECS/ECR).

·         Drive production reliability through debugging, monitoring, and root-cause analysis.

What You Bring: You are not just a backend engineer you are a systems thinker with AI intuition.

Core Requirements

·         4+ years building production-grade Python backend systems.

·         Deep expertise in FastAPI + async Python (you understand the event loop, not just syntax).

·         Experience working with LLMs in production (OpenAI, Anthropic, or open-source equivalents).

·         Strong PostgreSQL/Supabase knowledge (performance, schema design, async patterns).

·         Hands-on AWS experience (S3, ECS/ECR, IAM).

·         Experience with document parsing / OCR pipelines.

·         Ownership of Docker + CI/CD pipelines.

·         Experience with open-source model training, fine-tuning, or local deployment (e.g., LLaMA variants,

Mistral, etc.).

·         Familiarity with GPU-based workflows (NVIDIA stack, local inference, optimization).

·         Built systems using LangGraph / LangChain with stateful agent orchestration.

·         Strong testing discipline (pytest, async testing).

·         Experience with Stripe billing systems.

·         Background in regulated or document-heavy industries.

How We Work

·         You own what you ship: design → deploy → production → iteration.

·         You collaborate with a global, high-performance team.

·         You are trusted to make decisions, not wait for them.

·         You are expected to go deep, move fast, and deliver quality.

If you want to:

·         Work at the intersection of AI systems + real-world impact

·         Go beyond APIs into model-level thinking and experimentation

·         Build with both cutting-edge and open-source AI stacks

·         And own your work end-to-end

• Logix is where you do it.