Senior AI & LLM Systems Engineer

Role overview 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.

Responsibilities - 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.

Requirements - 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.