AI Engineering Lead

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, TypeScript, 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.
• Databases: PostgreSQL, Mongo, Redis, Kafka.

Interview Process

• 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.

Work Environment

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

Startup Culture

• Being a small nimble team is the best way to grow fast both personally and collectively as a team.
• 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.

Compensation

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

Unique Role

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

About 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.