1 to 25 of 31 Remote LangSmith Jobs

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 Join ...

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

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 RAG MCP) opportunity. ...

solving and project management skills in Agile environmentsExperience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniquesApply now to find out more about this Lead AI Engineer (Python LLM MLOps) opportunity. ...

have: knowledge of vector databases and retrieval strategies, experience with recommender systems and ranking models, familiarity with LLM evaluation tools such as RAGAS, TruLens, LangSmith, or Arize, understanding of cloud networking and platform infrastructure, experience in e-commerce or retail environments. Условия: Hybrid work model with flexibility; 25 Days ...

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**.## **Database Management*** Vector Databases: Experience ...

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**.## **Database Management*** Vector Databases: Experience ...

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**.## **Database Management*** Vector Databases: Experience ...

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. Database Management Vector Databases: 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 . Database Management Vector Databases: Experience ...

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. Database Management Vector Databases: Experience with ...

execution. Experience with RAG-based retrieval systems, vector search, embeddings, or enterprise knowledge retrieval patterns. Experience with agent observability and tracing tools such as LangSmith, OpenTelemetry, Arize, or similar platforms. Exposure to Splunk or enterprise observability frameworks. Experience with Docker, OpenShift, Kubernetes, or similar containerization and deployment platforms. Experience with ...

retrieval-augmented generation (RAG) and vector databases (pgvector, Pinecone, or similar).Experience designing multi-agent systems and agent orchestration patterns.Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar).Experience working with multiple model providers (Anthropic, OpenAI, open-weight models) or with fine-tuning.Hands-on experience with Terraform, Kubernetes ...

augmented generation (RAG) and vector databases (pgvector, Pinecone, or similar).Experience designing multi-agent systems and agent orchestration patterns. Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar).Experience working with multiple model providers (Anthropic, OpenAI, open-weight models) or with fine-tuning. Hands-on experience with Terraform, Kubernetes ...

modular architecture, TDD, code quality tools. AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING HERE We’re a fantastic team of bright, ambitious ...

schemas Evals and quality: golden datasets, regression suites, LLM-as-judge patterns, online monitoring of model behaviour; tooling such as RAGAS, promptfoo, Langfuse or LangSmith, or eval harnesses you built yourself Security, identity, and governance: OAuth2/OIDC, Entra ID and service principals, secrets management; guardrails and content safety; auditability ...

e.g., LangGraph, Claude Agent SDK, OpenAI Agents SDK), MCP-based integrations, or multi-agent architectures.Familiarity with evaluation and observability tooling for LLM systems (e.g., LangSmith).Exposure to SAP or large-scale enterprise transformation programmes.Experience contributing to practice growth: proposals, business development, or capability building.Advocacy of AI-native engineering tools (e.g. ...

LangGraph/LangChain agent sub‐graphs and multi‐step workflows.LLM Integration: Improve prompt engineering, orchestrate multiple models, and implement tool‐calling logic.System Observability: Use LangSmith or equivalent tracing/logging to monitor agent behaviour and performance.Benchmarking & Evaluation: Contribute to LLM benchmarking across tasks and model families.API Engineering: Build and consume ...

GenAI capabilities Strong candidates might also have: Experience fine-tuning models for style or persona (e.g. chatbots with specific character voices) Exposure to LangSmith or similar observability tools for prompt/LLM testing Knowledge of voice synthesis, cloning, or emotion conditioning in audio pipelines Previous work in media, journalism, podcasting ...

boundaries of GenAI capabilitiesStrong Candidates Might Also HaveExperience fine-tuning models for style or persona (e.g. chatbots with specific character voices)Exposure to LangSmith or similar observability tools for prompt/LLM testingKnowledge of voice synthesis, cloning, or emotion conditioning in audio pipelinesPrevious work in media, journalism, podcasting, or content ...

Comfortable working in ambiguity and pushing the boundaries of GenAI capabilities; Nice to have: Experience fine-tuning models for style or persona, exposure to LangSmith or similar observability tools, knowledge of voice synthesis or cloning, experience in media or content production, familiarity with multimodal generation, contributions to open-source ...

Nice to Have: - Exposure to defence, national security or another high-consequence regulated sector - Experience with LLM evaluation frameworks such as RAGAS, DeepEval or LangSmith Why Apply? - Small senior team where your technical decisions carry weight immediately - Share options as part of the package - Genuine AI-first engineering culture, with ...

makingTrack record of mentoring others and elevating team capabilitiesNice to Have:Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity).LLM observability tools: LangSmith, Arize, Weights & Biases.AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba).Startup, founder, or cross-functional multi-product experience.Our Benefits:Paid Vacation ...

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies ...

Company DescriptionWe believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough ...