13 of 13 LangSmith Jobs in the UK

experience with Docker, 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. Vector Databases: Experience with ...

databases (ChromaDB, Pinecone, PGVector, Qdrant), SQL/NoSQL, and Docker/Kubernetes. Production Standards: Cloud deployment (AWS/Azure), Terraform (IaC), and LLM monitoring (Langsmith/Langfuse). Candidate Profile The firm requires engineers who can bridge the gap between technical delivery and client-facing consulting. Experience: A solid foundation ...

contribute to requirement analysis, testing, and documentation. Preferred · Experience supporting AI product development lifecycle (design → build → evaluate → iterate). · Exposure to: LangChain and LangSmith/LangFuse Supervised fine-tuning or lightweight tuning (LoRA, PEFT) RAG evaluation techniques and model feedback loops MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes) · Familiarity ...

Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability — using tooling such as LangSmith, Langfuse, Ragas, promptfoo and Azure AI Content Safety. Productionising solutions with FastAPI, async Python, Pydantic, Docker and Kubernetes, deployed into Azure-native infrastructure. Partnering with data ...

Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability using tooling such as LangSmith, Langfuse, Ragas, promptfoo and Azure AI Content Safety. Productionising solutions with FastAPI, async Python, Pydantic, Docker and Kubernetes , deployed into Azure-native infrastructure . Partnering with ...

Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability using tooling such as LangSmith, Langfuse, Ragas, promptfoo and Azure AI Content Safety. Productionising solutions with FastAPI, async Python, Pydantic, Docker and Kubernetes , deployed into Azure-native infrastructure . Partnering with ...

tuning LLMs for domain-specific applications. Familiarity with real-time streaming, multimodal models, or search technologies (e.g., Elasticsearch). Experience with model observability tools (LangSmith, Weights & Biases) and cost optimisation strategies. Exposure to specialised industries (finance, healthcare, energy, legal, retail) and responsible AI practices. Experience with tool-calling agents, handoffs ...

Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP Strong programming skills in Python (experience with LangChain/LangGraph/LangSmith frameworks) and TypeScript (preferable) Solid understanding of LLMs, prompt engineering, and graph-based workflows Knowledge and implementation of Input and Output guardrails in addressing Hallucination ...

complex problem‐solving scenarios. Experience in working with variety of data bases (SQL, no SQL), APIs & microservices development. Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products. Experience in constructing and querying knowledge graphs including graph‐based reasoning. Experience ...

deployed API-first, event-driven architectures. You intuitively know how to build systems that scale. 🔭 You have experience with observability and debugging in production. LangSmith, Datadog, Sentry, and similar. 🧠 You've demonstrated ownership of system design and technical decision-making. You've built entire backend systems from scratch. ...

building tools that help agents reason about complex API workflows, and shipping features that handle the messiness of real-world enterprise data. TypeScript , Python , Langsmith , Modal, AWS. You bring the experience with LLMs in production; they'll give you the scale and the problems worth solving. FAQs What does ...

Role Details Role/Job Title: AI Engineer Location -London Hybrid Requirement: 2 days Duration of Assignment: 6 Months The Role In this role, you will build the intelligent systems and AI powered capabilities that ...

know where RAG breaks LLM APIs & SDKs: Anthropic, OpenAI, Gemini - prompt design, tool use Python/TypeScript: Primary languages for agent + backend development LangSmith/Observability: Tracing, evaluation, debugging agent runs Cloud Platforms: Azure, AWS, GCP (at least one) - deployment, infra, managed services API & System Integration: REST, gRPC, Kafka … know you have built things Bonus - Real Differentiators Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows) Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling QA/testing ...