16 of 16 LangSmith Jobs

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 ...

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 ...

Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows ...

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 ...

using: TGI, FastAPI Strong cloud and infrastructure experience: AWS/GCP/Azure, Docker, Kubernetes, Redis Experience with monitoring and evaluation tools such as LangSmith Nice to have Experience with multi-agent systems and autonomous workflows Familiarity with enterprise data architectures and security practices Background in MLOps and CI/ ...

local deployment strategies. ● Frameworks and protocols such as Model Context Protocol (MCP) or Agent-to-Agent (A2A). ● LLM evaluation tooling (OpenAI Evals, LangSmith, custom evaluation harnesses). ● Advanced agent patterns: multi-agent systems, supervision, delegation strategies. ● RAG, GraphRAG and knowledge graph design and implementation. ● Vector databases and similarity search ...

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 ...

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 ...

Voice and telephony systems (Twilio, SIP, WebRTC) STT/TTS pipelines (Deepgram, ElevenLabs or similar) Messaging integrations (WhatsApp Business API) Observability tooling (Datadog, Sentry, LangSmith) Previous founding engineer experience Being a founding engineer or an ex-founder from any company backed by Antler or Entrepreneurs First is preferred ...

Expertise : Hands-on experience working with AI tools and APIs to automate workflows or enhance product capabilities eg Claude API, OpenAI API, LangGraph, LangSmith, RAG, Prompt Engineering, Agentic AI (Certifications). The Startup Mindset : You are pragmatic. You understand the value of testing and process ...

Core stack LangGraph · CrewAI · Python · FastAPI · Docker/E2B · AWS/Azure · Kubernetes Nice to have LLM orchestration experience Security/guardrails frameworks Observability (LangSmith) Model routing/LiteLLM/tiering strategies Early-stage startup experience Enterprise client exposure ...

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 ...