AI Engineer (LLM & Agentic AI)

This position is for an Applied AI Engineer at Aiden Risk, focused on building and deploying production-ready AI systems. The ideal candidate will have the ability to transform large language model (LLM) capabilities into reliable and scalable applications. These applications may include intelligent agents, retrieval systems, browser automation, and data extraction tools. This role requires hands-on engineering skills to create practical AI solutions that perform effectively in real-world environments.

Key Responsibilities
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines and vector search systems tailored to real-world document datasets.
- Develop AI agents capable of tool calling, integrating with external APIs, and managing automated workflows.
- Implement browser automation and web data extraction using Playwright.
- Integrate LLMs from providers such as OpenAI, Anthropic, Gemini, and various open-source platforms into production applications.
- Design and develop evaluation frameworks to assess AI model accuracy, reliability, latency, and operational cost.
- Build, test, and deploy Python-based AI services utilizing Docker and cloud infrastructure.
- Continuously improve system performance, troubleshoot technical issues, and ensure reliability under production workloads.

Required Qualifications
- 1 to 2 years of professional software engineering experience with strong proficiency in Python programming.
- Practical experience building applications using LLMs or generative AI models.
- Solid understanding of RAG, embeddings, vector search, and familiarity with vector databases such as pgvector, Pinecone, or Chroma.
- Experience working with AI frameworks like LangChain or similar tools.
- Basic knowledge of APIs, containerization with Docker, and cloud platforms such as AWS or GCP.
- Strong problem-solving skills and an engineering mindset focused on delivering tested, deployable solutions.

Preferred Qualifications and Benefits
- Experience with browser automation tools, particularly Playwright, is considered a plus.
- Candidates who have developed practical AI applications beyond tutorials or demos and understand how to maintain their reliability in production environments are highly valued.

This role is suited for engineers passionate about applied AI who want to contribute to building scalable, production-grade AI systems that solve real business challenges.