24 of 24 LangSmith Jobs

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. ...

articulation, stakeholder management and consulting skills Experience driving productivity and cost optimisationsSkills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain,Langsmith/Langfuse, Gen AI/Agentic AI , Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI) , MLOps/LLMOps tools (MLflow, Kubeflow ...

Responsible AI: Experience operationalizing LLM and agentic systems at scale—evaluation harnesses and metrics for quality, groundedness, and safety; observability, tracing, and monitoring (e.g., LangSmith, LangFuse); guardrails and red-teaming; and continuous optimization of accuracy, cost, and latency. Understanding of AI governance, security, privacy, bias/fairness, and emerging ...

tools (e.g., Pandas, Spark, dbt, etc.)Hands-on experience with MLOps/LLMOps principles, including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform)Experience building systems with different data formats (structured vs unstructured) and data processing methods (streaming vs batch ...

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 ...

MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery ...

MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery ...

tooling (MLflow, Weights & Biases, Data Version Control)Experience developing LLM/GenAI applications, including prompt engineering and RAG architecturesFamiliarity with LLMOps tooling such as LangSmith, LangChain, or LangGraphUnderstanding of model evaluation, validation techniques, and production monitoringExperience working in cross-functional teams from problem framing through to production deliveryAbility to communicate ...

MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery ...

models — with fallback routing, token, cost, and latency management \n Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring \n Embed directly with client engineering teams to analyse the SDLC to identify AI/agentic opportunities ...

source models with fallback routing, token, cost, and latency management Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring Embed directly with client engineering teams to analyse the SDLC to identify AI/agentic opportunities ...

hands-on, and experience in a regulated environment (auditability, explainability, model risk, data residency)Experience with LLM evaluation and observability tooling, for example Langfuse, LangSmith, or OpenTelemetryBenefits28 days annual leave plus bank holidaysHybrid model where employees work a minimum of 40% in the office each month (expectation ...

hands-on, and experience in a regulated environment (auditability, explainability, model risk, data residency)Experience with LLM evaluation and observability tooling, for example Langfuse, LangSmith, or OpenTelemetryBenefits28 days annual leave plus bank holidaysHybrid model where employees work a minimum of 40% in the office each month (expectation ...

model performance, reliability, security and operating costs in production systems Desirable skills include: Qdrant, Weaviate or pgvector Neo4j, GraphRAG and Cypher MCP server development LangSmith, LangFuse or similar observability platforms Fine-tuning, embedding model selection or open-weight model deployment Experience working with complex document-heavy environments BENEFITS The successful ...

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 ...

technical environment. Desirable Experience: Strong candidates may also bring experience in: Fine-tuning LLMs for specific personas, communication styles or domain-specific use cases. LangSmith or similar LLM observability and testing platforms. Voice synthesis, voice cloning or emotion-conditioned audio generation. AI applications within digital media, content platforms or other ...

travel if needed to offshore teams (approximately 5 days per year). Preferred Skills and Experience ISTQB/ISEB Advanced level certification. Familiarity with LangSmith, DeepEval, Ragas, Promptfoo, or similar tools. Experience with Agentic workflows, RAG applications, or AI evaluation pipelines. Cloud certification (AWS, GCP, Azure). Track record ...

travel if needed to offshore teams (approximately 5 days per year). Preferred Skills and Experience ISTQB/ISEB Advanced level certification. Familiarity with LangSmith, DeepEval, Ragas, Promptfoo, or similar tools. Experience with Agentic workflows, RAG applications, or AI evaluation pipelines. Cloud certification (AWS, GCP, Azure). Track record ...

travel if needed to offshore teams (approximately 5 days per year). Preferred Skills and Experience ISTQB/ISEB Advanced level certification. Familiarity with LangSmith, DeepEval, Ragas, Promptfoo, or similar tools. Experience with Agentic workflows, RAG applications, or AI evaluation pipelines. Cloud certification (AWS, GCP, Azure). Track record ...

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 ...

embedding stores. Use AI-powered dev tools (GitHub Copilot, Cursor, Codeium, Aider, Windsurf) to accelerate iteration. Implement LLMOps/PromptOps using: Weights & Biases, MLflow, LangSmith, LangFuse, PromptLayer, Humanloop, Helicone, Arize PhoenixBenchmark and evaluate LLM systems using Ragas, DeepEval and structured evaluation suites. Deployment & InfrastructureContainerize and deploy workloads with Docker, Kubernetes … thinking mindset. Curiosity, adaptability and a drive to stay ahead of rapid advancements in GenAI.BENEFICIALExperience with PromptOps & LLM Observability tools (PromptLayer, LangFuse, Humanloop, Helicone, LangSmith).Understanding of Responsible AI, model safety, bias mitigation, evaluation frameworks and governance. Background in Computer Science, AI/ML, Engineering, or related fields. Experience deploying ...

fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. You won't need every technology on this list. A strong … React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment ...

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 ...

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 ...