26 to 50 of 52 LangSmith Jobs

Production Python engineering : Clean, modular, testable, maintainable code — you care about system reliability as much as model output. Evaluation & observability : Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations : Distributed systems, scalable data pipelines (Kafka, SQL), and cloud-native infrastructure. Cloud ...

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 ...

with Anaplan or similar enterprise planning platforms 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, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens ...

also have: Extensive practical experience within AI engineering, particularly involving large language models. Strong proficiency in Python and production-level software development. Experience using LangSmith, Braintrust, Arize or similar AI observability and evaluation platforms. A strong understanding of LLM backend architecture and AI operations. Experience building data platforms and supporting ...

Production Python engineering : Clean, modular, testable, maintainable code — you care about system reliability as much as model output. Evaluation & observability : Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations : Distributed systems, scalable data pipelines (Kafka, SQL), and cloud‐native infrastructure. Cloud ...

Python for data manipulation, statistical analysis, and building evaluation pipelines. Evaluation Tooling: Working familiarity with AI evaluation and observability tools such as LangSmith, Arize, or equivalent, and the ability to interpret their outputs. Agentic Systems: Familiarity with agentic workflows and orchestration frameworks (e.g. LangChain, LlamaIndex, or similar), including ...

your services run in production. What You'll Bring Minimum 5 years of engineering experience, preferably including Python.. 1 year of experience with LangSmith or other comparable LLM/AI frameworks — this is an essential component of the vision for our agentic platform, and hands-on experience is required.. Solid ...

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 ...

reporting, questionnaire, or other complex B2B SaaS products German language skills Experience improving latency, cost, and reliability for AI workloads Any experience with LangChain, LangSmith, or other LLM frameworks Knowledge of ESG, sustainability, climate tech, or corporate reporting Deeper experience with RAG, retrieval, agents, LLM evaluation, and production AI systems ...

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 ...

selections for individual AI systems, defining memory strategies, orchestration patterns and tool integration methods. Implementing robust evaluation frameworks (using DeepEval, Arize Phoenix, Galileo, or LangSmith) to define and measure AI quality, safety and fairness before systems go live. Engineering advanced context pipelines, leveraging chunking, hybrid search, re‐ranking, knowledge graphs ...

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 ...

Implement guardrails, human‐in‐the‐loop approvals, and escalation so agents act safely within defined boundaries, and instrument agent evaluation, tracing, and observability (e.g. LangSmith) to improve reliability Build AI‐powered features such as document processing, intelligent automation, prediction, and data‐insight tools Secure & Compliant AI Development Build AI systems … scale (retrieval quality, chunking, re‐ranking) Experience designing multi‐agent systems and agent orchestration (LangGraph, AutoGen, CrewAI), including agent evaluation and observability (e.g. LangSmith) Familiarity with tool/function calling and the Model Context Protocol (MCP) for connecting agents to external systems and data Experience with infrastructure‐as‐code ...

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 ...

hold the line: if it wouldn’t convince a 30-year veteran, it doesn’t ship. Take features from prototype to production : observability, tracing (LangSmith), error handling, and reliability that survives week six, not just the demo. Join customer ride-alongs and site visits — plants, hangars, the field — and bring ...

cloud infrastructure to run AI workloads in production (AWS or similar). Evaluation and observability for AI — hands‐on with tools like LangFuse, LangSmith, Braintrust, or MLflow — plus solid automated testing and CI/CD. Proven technical leadership — mentoring engineers, driving technical vision, and delivering complex, cross‐team projects. English …/ML), Go and Kotlin (platform services). AI & LLMs — LLM APIs and open models, agent frameworks, MCP, RAG. AI evaluation & observability — LangFuse, LangSmith, Braintrust, MLflow. Data & retrieval — vector databases, feature stores. Messaging — Apache Kafka, SQS. Databases — PostgreSQL, Redis. Infrastructure — AWS, Kubernetes, Docker, Terraform. Observability — Datadog, OpenTelemetry. CI/ ...

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 ...

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 ...

open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide ...

adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams ...

observability and reliability for crypto market safety. The ideal candidate has 5+ years of engineering experience, strong Python skills, and hands-on experience with LangSmith or comparable AI frameworks, #J-18808-Ljbffr ...

drive adoption across product teams with a focus on governance and risk within regulated environments. You will lead a small, senior team, work with LangSmith/LangGraph, and ensure scalable, observable, and secure infrastructure across multi-cloud and on-prem deployments. #J-18808-Ljbffr ...

areas more than surface familiarity with all of them. What Sets You Apart Guardrail‐engine or AI‐observability experience (NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust, or equivalent) Reinforcement learning infrastructure (reward modelling, RLHF or GRPO‐class pipelines) or SLM distillation experience Multi‐tenant SaaS infrastructure: tenancy isolation, metering, usage … would rather see this than a CV) The reference stack The reference technology stack for this role is our supported paved road: self‐hosted LangSmith and LangGraph Platform as the agent runtime and evaluation plane, model providers behind a swappable gateway seam, PostgreSQL with pgvector plus ClickHouse and S3‐compatible ...

make crypto markets safer, more transparent, and more efficient Requirements Minimum 5 years of engineering experience, preferably including Python 1 year of experience with LangSmith or another comparable LLM/AI framework; hands-on experience required Solid API design skills and experience building and maintaining production APIs Experience integrating APIs … Lambda, ECS, S3) Kubernetes and Helm Charts SQL Proficiency (Postgres) ATS Optimization Keywords Hard Skills Python Programming API Design SQL Proficiency NoSQL Database Experience LangSmith or Comparable LLM/AI Framework Infrastructure as Code (Terraform) Distributed Architecture Event-Driven Architecture Data Modeling System Design Soft Skills Collaboration Communication Problem-Solving ...