AI Engineer

at Trafilea Tech E-commerce Group

Job description

Description

  • Participate in the processes of designing and planning software solutions.

  • Suggest ideas, new solutions, or improvements to the current technology systems.

  • Collabowith the Pro and other stakeholders within Engineering (Frontend, UX, etc.)

  • Document the technical solutions with diagrams and the necessary documents for easy understanding by the other technical areas of the company.

  • Advocate for improvements to product quality, security, and performance

  • Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale web environment. Maintain and advocate for these standards through code review.

  • Recognize impediments to our efficiency as a team (“technical debt”), propose and implemize LLM stack

(cost, latency, roure flow traceability and debugging with Langfuse.

Requirements

  • Advanced Python, experienced with FastAPI.

  • Deep knowledge of Langchain.

  • Observability and debugging experience (Langfuse preferred).

  • Strong database knowledge (SQL, Redis).

  • Experience with asynchronous architectures.

  • Amazon Web Services knowledge.

  • SCRUM Methodologies practitioner.

  • Prompt engineering and LLM behavior tuning.

DESIRED (NICE TO HAVE)

  • Experience with Node.js and NestJS.

  • Understanding of agent proxy architectures.

  • Familiarity with Websockets and streaming LLM responses.

  • Knowledge of vector search and RAG techniques (e.g., Pinecone, Qdrant).

  • Familiarity with LLM evaluation methods and tools (e.g., LangSmith, OpenAI evals).

  • Awareness of LLM-related security and compliance concerns.

  • Ability to manage cost, token usage, and latency of LLM calls.

  • Product thinking around user experience with LLM-powered features.

  • Experience with fine-tuning or hosting open-source models.

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