Senior AI Engineer

• 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.

• 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.