11 of 11 Remote/Hybrid Langfuse Jobs in London

project management skills in agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation techniquesPrevious success in integrating GenAI solutions into enterprise-scale systemsWhy ...

solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/Developer (Python LLM MLOps ...

production. AI Operations & ObservabilityHave experience implementing monitoring, tracing, evaluation, and cost optimisation for AI systems. Have experience with observability solutions such as Arize Phoenix, Langfuse, or LangsmithUnderstand the operational challenges of deploying LLM-powered applications, including latency, reliability, hallucination monitoring, and model quality evaluation. Collaboration & Technical LeadershipEnjoy collaborating across multiple ...

enterprise security and governance practices including RBAC, prompt safety checks, traceability and secrets management Implement evaluation pipelines and observability frameworks using tools such as Langfuse, Arize or OpenTelemetry Contribute to architectural design decisions, code reviews and engineering standards for platform development Requirements Bachelor's or Master's degree in Computer ...

orchestration frameworks Experience configuring Azure services (App Service, Container Registry, Blob Storage) or AWS equivalents Familiarity with LLM observability/evaluation tooling (e.g. Langfuse) and resilience patterns for third-party AI providers (e.g. circuit breakers, provider fallback) Awareness of data protection and AI transparency considerations relevant to handling panel/ ...

Kubernetes**, and **Docker Compose**.* **Infrastructure as Code (IaC)**: Exposure to tools like **Terraform**.* **Monitoring Tools**: Familiarity with LLM monitoring tools like **Langsmith**, **Langfuse**, or similar.* **CI/CD**: Experience with continuous integration and deployment tools such as **GitLab**, **GitHub**, or **Jenkins**.## **Database Management*** Vector Databases: Experience with ...

experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation (Docker, Kubernetes), and vector databases. Understanding of agent monitoring tools (Langfuse, OpenTelemetry). Strong software engineering best practices (testing, CI/CD, code reviews). Excellent communicator able to work with cross‐functional teams and clients. Desire ...

Tech Stack: Backend Python FastAPI Agent Development Kit (ADK) Datastores PostgreSQL BigQuery Firestore Infrastructure Google Cloud Platform (GCP) RabbitMQ Terraform Monitoring & Observability Grafana Prometheus Langfuse incident.io Sentry What to Expect from Our Hiring Process At Plum, we value a lot the time you devote to the hiring process, this ...

Hands-on experience building with OpenAI and Anthropic models/APIs; strong knowledge of LLMs and agent architectures. Tooling: Practical experience with LiteLLM, vLLM, Langfuse (or equivalent LLM observability tooling). Experience with Claude Code/Codex and associated coding-agent workflows is a plus. Evals: Proven ability to design ...

Hands‐on experience building with OpenAI and Anthropic models/APIs; strong knowledge of LLMs and agent architectures. Tooling: Practical experience with LiteLLM, vLLM, Langfuse (or equivalent LLM observability tooling). Experience with Claude Code/Codex and associated coding‐agent workflows is a plus. Evals: Proven ability to design ...

with the cloud infrastructure to run AI workloads in production (AWS or similar). Evaluation and observability for AI — hands‐on with tools like LangFuse, LangSmith, Braintrust, or MLflow — plus solid automated testing and CI/CD. Proven technical leadership — mentoring engineers, driving technical vision, and delivering complex, cross‐team … Python (AI/ML), Go and Kotlin (platform services). AI & LLMs — LLM APIs and open models, agent frameworks, MCP, RAG. AI evaluation & observability — LangFuse, LangSmith, Braintrust, MLflow. Data & retrieval — vector databases, feature stores. Messaging — Apache Kafka, SQS. Databases — PostgreSQL, Redis. Infrastructure — AWS, Kubernetes, Docker, Terraform. Observability — Datadog, OpenTelemetry. ...