Senior AI & LLM Systems Engineer

Design and operate production AI systems that combine language models, agent workflows and multimodal retrieval. The work spans architecture, model deployment and evaluation, with a focus on responsive services that can handle substantial query volume.

• Build stateful, multi-agent workflows using orchestration frameworks or custom components.
• Develop hybrid retrieval pipelines, including vector search, chunking, reranking and semantic caching.
• Fine-tune open-weight models and deploy inference services with strict latency targets.
• Create automated evaluations to detect hallucinations and catch prompt regressions.
• Collaborate with product leaders and customer teams to define and deliver AI features.

• At least four years of software engineering experience, with strong Python and FastAPI skills.
• Experience operating reliable LLM applications in production.
• Knowledge of vector databases and semantic search methods.
• Understanding of token costs, streaming responses and prompt design.
• Experience with Docker, cloud deployments on AWS or GCP, and CI/CD.