The Mission We are entering an era where software doesn't just execute code - it spends money. AI Agents are autonomous, powerful, and unpredictable. A single logic bug in a background loop can burn through a startup's runway in hours.

Aden is building the safety layer that makes agentic AI viable for the enterprise. We are the "CFO in the code" - the infrastructure that allows engineering teams to ship powerful AI features without the fear of bankruptcy-level accidents.

The Challenge We aren't building a passive analytics dashboard. We are building active, high-velocity financial infrastructure. At Aden, you will work on low-latency middleware that sits in the critical path of AI execution. Our systems need to ingest streams of trace data, calculate complex unit economics in real-time (using Materialize views), and make split-second decisions to "kill" connections before they spiral out of control.

Why Join Us?

High Stakes Engineering: You aren't centering divs. You are building the "circuit breakers" for the world's most advanced LLM applications.

Immediate Impact: Our code literally saves our customers money the second it is installed. You will see the results of your work in the "Saved Spend" column every day.

The "Picks and Shovels" of AI: While everyone else fights to build the best chatbot, we are building the essential governance layer that every AI company will eventually need to survive due diligence and enterprise procurement.

Who We Are We are a team of technical founders and builders (PhD / CS background) who value shipping over slides. We are looking for engineers who want to touch the metal, understand the intricacies of LLM tokenomics, and build the standard for AI financial governance.

Overview

At Aden, artificial intelligence is not just a feature; it is the core driver of our infrastructure. We are seeking a deeply technical, highly analytical Applied AI Engineer to join our core engineering team. In this role, you will be responsible for bridging the gap between cutting-edge AI research and production-grade enterprise software. You will design, build, and deploy the intelligent systems that power our infrastructure, focusing on large language models (LLMs), autonomous agent frameworks, and advanced data pipelines. You will tackle some of the most complex challenges in the industry: ensuring consistent, highly accurate, and secure outputs from probabilistic models within a strictly regulated enterprise environment. If you are passionate about building robust AI systems that can independently parse complex data, reason through multi-step transactional logic, and execute actions flawlessly, this is the role for you.

Responsibilities

• Model Deployment & Optimization: Design, deploy, and maintain state-of-the-art foundation models and custom-trained AI systems within a high-throughput, low-latency B2B enterprise environment. You will optimize inference performance and manage resource allocation to ensure cost-effective scaling.
• Agentic Framework Development: Architect and implement robust, multi-agent workflows capable of handling complex operations, from risk assessment and fraud detection to automated reconciliation and dynamic routing.
• RAG & Data Pipelines: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that ingest, vectorize, and retrieve massive volumes of structured and unstructured data (e.g., market feeds, SEC filings, ledger data) in real-time.
• Evaluation & Alignment: Develop rigorous, automated testing frameworks to evaluate model performance, specifically focusing on hallucination reduction, mathematical accuracy, and strict adherence to compliance standards.
• Infrastructure Integration: Work closely with backend engineers to integrate AI services seamlessly into our core Rust/Go/Python-based APIs, ensuring absolute fault tolerance and idempotency.
• Continuous Improvement: Stay at the absolute bleeding edge of AI research, continuously evaluating new models, open-source agent development frameworks, and optimization techniques to keep Aden’s infrastructure ahead of the curve.

Qualifications

• Experience: 4+ years of software engineering experience, with at least 2 years dedicated to deploying machine learning models, LLMs, or complex AI systems in production environments.
• Technical Stack: Expert-level proficiency in Python. Deep understanding of ML frameworks (PyTorch, TensorFlow) and LLM orchestration tools (LangChain, LlamaIndex, or proprietary/custom frameworks).
• System Design: Strong background in distributed systems, vector databases (Pinecone, Weaviate, Milvus), and cloud infrastructure (AWS/GCP).
• Domain Knowledge: Solid grasp of transformer architectures, fine-tuning methodologies (LoRA, QLoRA), and prompting strategies for complex reasoning tasks.
• Mindset: A relentless focus on security, accuracy, and edge-case handling, which is absolutely critical when building AI for applications.

Nice to Haves

• Previous experience working in large scale data-intensive companies.
• Active contributions to open-source AI projects or agent development frameworks.
• Proficiency in systems-level languages for performance-critical path optimization.

What We Offer

• Competitive salary and substantial equity package.
• Comprehensive health, dental, and vision insurance.
• The opportunity to build the underlying architecture for the AI economy from the ground up.
• Flexible, remote-friendly work culture with regular team offsites.

Tech Stack

• Core Languages: Python (3.11+), Bash/PowerShell for cross-platform scripting, Typscript, SQL
• AI Tooling & Environments: Claude Code, Codex CLI, Cursor, Opencode, Antigravity IDE.
• Foundation Models: OpenAI (GPT-4o/o1), Anthropic (Claude 3.5 Sonnet/Opus), Gemini, and open-weight models.
• Architecture: Model Context Protocol (MCP), LiteLLM, uv (for Python dependency and workspace management).
• Cloud Platforms: GCP/AWS
• Containerization: Docker, Kubernetes
• Version Control: Git
• Database: PostgreSQL, Mongo, Redis, Kafka

What does the interview process look like?

• We’ll reach out for an intro call after reviewing your resume. We may follow by scheduling a technical interview. If the tech round went well, we’d give you a small project. After assessing the project, we’d be ready and make an offer.

Can I work remotely?

• Yes. We support a hybrid of remote and on-site work environments.

What’s it like working for a startup?

• Being a small nimble team is the best way to grow fast both personally and collectively as a team. We tend to debunk some of the stereotypes about working at a startup. We rarely work overtime. Our processes are pretty clear and structured. Our goal is super defined. Our financial risk is actually a lot lower than a lot of established businesses as we have zero debt, fewer commitments/overheads, and actually grow rapidly each every week.

What can I expect in terms of compensation?

• We aim to compensate competitively. We believe that revenue’s a team sport and boost in pay for every milestone we achieve together.

What’s unique about this role?

• Regardless roles, you will learn all aspects of businesses.

What’s special about team Aden?

• We’re a group of builders who aren’t afraid of the toughest engineering challenges. The world as we understand it is a big puzzle with tons of problems to be solved. The bigger our goal is, the more and harder the problems become. We’d always want to be the team that solves the most, and hardest problems.

•          HTML & CSS
  

•          Javascript (Vue.js, bootstrap, axios, redux, google analytics, jquery, datatables, webpack)
  

•          RESTful API Design & Implementation (OpenAPI)
  

•          MySQL Commands & Utilities (Mysqldump...)
  

•          Elasticsearch
  

•          DynamoDB
  

•          Docker & Docker-compose
  

•          Python3 (Requests, PyMySQL, SQLAlchemy, Scrapy, multiprocessing, apscheduler, pandas, numpy...)
  

•          Linux Commands & Utilities (Ubuntu, screen, crontab)
  

•          Kubernetes (GKE)
  

•          Load Balancer (Ingress)
  

•          Compute Engine (GCE)
  

•          Cloud Endpoint
  

•          MySQL (Cloud SQL)
  

•          Redis