14 of 14 Permanent LangSmith Jobs in the UK

desired skills Knowledge of vector databases and retrieval strategies. Experience with recommender systems and ranking models. Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize). A working understanding of cloud networking and platform infrastructure. Experience in e‐commerce or retail environments. Why join us? Be a part ...

Weaviate, Chroma, pgvector, FAISS; embeddings, semantic and hybrid search, reranking MLOps/LLMOps & deployment: Docker, Kubernetes, FastAPI, CI/CD; observability, tracing, evaluation tooling (LangSmith, LangFuse); guardrails, prompt/version management Responsible AI & safety: bias & fairness, hallucination mitigation, evaluation, privacy, security, governance of AI and agentic systems Solution Design : Ability ...

with GraphRAG and agentic RAG. LLMOps, Evaluation & Responsible AI – operationalizing LLM and agentic systems at scale; evaluation harnesses, quality metrics, observability, tracing and monitoring (LangSmith, LangFuse); guardrails, red‐teaming and continuous optimization of accuracy, cost and latency. Understanding of AI governance, security, privacy, bias/fairness and emerging regulations. Machine ...

/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run. Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor. Drive incident response and post-mortems for production AI system failures. Act as a technical lead on key AI engineering workstreams, shaping architecture ...

/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run. • Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor. • Drive incident response and post-mortems for production AI system failures. • Act as a technical lead on key AI engineering workstreams, shaping architecture ...

designing, testing and evaluating machine learning experiments Knowledge of Generative AI, LLMs, prompt engineering and RAG architectures Experience with LLMOps tools such as LangChain, LangSmith or LangGraph Strong understanding of model monitoring, validation and governance Excellent communication and stakeholder management skills Ability to translate complex technical concepts into business value ...

/B testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability tools (LangSmith, W&B;, MLflow) DEIB Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens ...

Experience with high-traffic, real-time consumer platforms Fine-tuning experience and the judgement to know when it beats prompting or RAG Observability tooling (LangSmith, Langfuse, W&B) and cost optimisation Experience with AI coding tools (Claude Code, Codex, Copilot) What's on Offer Competitive salary benchmarked to your level ...

model serving frameworks (vLLM, TensorRT, Ray). Experience with A/B testing and experimentation frameworks for AI features. Experience with model observability tools (LangSmith, W&B, MLflow). Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive ...

About the company the company is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission‐critical, yet still run on ...

project scope, and manage expectations with clients and leadership. Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models. Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane. Design and implement the Agent Registry ...

work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, LangChain, LangGraph, LangSmith, and Fleet are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies ...

team learned Kotlin here: Backend: Kotlin (modular monolith using Http4k, Spring Boot, Exposed, Result4k). Storage: Postgres, BigQuery. AI Platform: Vertex AI, Langsmith, more to come here. Async messaging: Google Cloud Pub/Sub. Infrastructure: Google Cloud, Terraform. Frontend: TypeScript, React. Monitoring: Google Cloud Monitoring, Sentry. Tools: GitHub, Slack, Notion ...

work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. … have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain ...