AI Engineer (LLM & Agentic AI)

This role at Aiden Risk is for an Applied AI Engineer 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 position requires practical experience in developing AI solutions that perform effectively in real-world environments.

Key Responsibilities

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

Required Qualifications

- 1 to 2 years of software engineering experience with strong proficiency in Python programming.
- Hands-on experience building applications using LLMs or generative AI models.
- Practical knowledge of RAG, embeddings, vector search, and vector databases such as pgvector, Pinecone, or Chroma.
- Familiarity with AI frameworks like LangChain or similar tools.
- Basic understanding of APIs, Docker, and cloud platforms such as AWS or GCP.
- Strong problem-solving skills with an engineering mindset focused on building, testing, and deploying functional solutions.

Preferred Qualifications and Benefits

- Experience with browser automation tools such as Playwright is a plus.
- Demonstrated ability to build practical AI applications beyond tutorials or demos, with a clear understanding of how to ensure their reliability in production environments.

This role is not suitable for candidates seeking entry-level or purely experimental positions. The focus is on delivering robust, scalable AI systems that perform reliably in production settings. If you have a passion for applied AI engineering and enjoy turning cutting-edge technology into real-world solutions, this opportunity at Aiden Risk offers a challenging and rewarding environment.