
Senior GenAI Engineer
Posted Aug 18

Posted Aug 18
This is a fully remote position, open to applicants in Poland.
• Develop end-to-end features powered by LLM.
• Create and implement agentic workflows, retrieval mechanisms, and tool invocation using LangGraph.
• Deliver LangGraph functionalities as FastAPI services, incorporating streaming capabilities, persistence, and comprehensive testing.
• Construct evaluation datasets, regression testing suites, and LLM-as-judge assessments to evaluate prompt and model modifications.
• Transform user inquiries into efficient queries for the search platform.
• Coordinate multi-step research cycles and define model context.
• Identify whether incorrect responses stem from retrieval processes, queries, or prompts, and resolve the underlying problems.
• Implement Langfuse tracing within production workflows.
• Examine incorrect responses using actual production traces.
• Manage latency, token usage, and cost constraints.
• Direct requests among various model sizes and families through an AI gateway.
• Over 5 years of professional experience.
• Proficient in building and operating backend services, including APIs, asynchronous programming, and testing.
• Practical experience in deploying LLM features to production and maintaining them.
• Familiarity with agent/orchestration frameworks, preferably LangGraph.
• Hands-on experience with Retrieval-Augmented Generation (RAG).
• Experience in debugging LLM systems in production, focusing on tracing, evaluation, cost, and latency.
• Background in running cloud services, with a preference for Azure.
• Excellent problem-solving, analytical, and technical decision-making abilities.
• Proficient in English.
• Strong communication skills and ability to work collaboratively in a team.
• Open-minded, innovative, and driven to advance AI and automation.
• Nice to have: Experience with Azure OpenAI, AI Search, and App Service.
• Nice to have: Knowledge of infrastructure-as-code using Bicep.
• Nice to have: Experience in mentoring or as a technical lead.
• B2B contract.
• Fully remote work.
• Long-term engagement.
• Opportunity to work on a live LLM product.
• Access to a modern AI/LLM technology stack.
• Flexible working environment.
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