AI Engineer
To see similar active jobs please follow this link: Remote Development jobs
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.
AI Engineer
To see similar active jobs please follow this link: Remote Development jobs
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.