1 to 25 of 63 Remote/Hybrid LangChain Jobs

Hands-on experience with Generative AI, LLMs, RAG solutions and AI agent frameworks. Experience with technologies such as OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, LangChain, LangGraph and LlamaIndex. Experience deploying and monitoring AI solutions using MLOps and LLMOps best practices. Knowledge of Azure, AWS or GCP, alongside CI/ ...

reviews, and cloud platforms such as AWS, Azure, or Google Cloud. Bonus Points For Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies. Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards. Experience with LLM observability and evaluation ...

hands-on with emerging technologies – exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

hands-on with emerging technologies – exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making. Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns. Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps ...

experience developing scalable, modular, and maintainable Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning ...

Java-based software capabilities to assist disparate teams in connecting their components to the agent platform. Familiarity with Python-based AI integration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen). Experience with Vector Databases, semantic caching, and AI observability tools. Experience with NiFi, Kafka, and cloud-based infrastructure (AWS, Azure). Experience ...

teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer ...

teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer ...

commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) LLMOps/MLOps - model versioning, deployment ...

commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) LLMOps/MLOps - model versioning, deployment ...

executive stakeholders Desirable Experience working within Financial Services, Insurance or other highly regulated environments would be advantageous. Databricks, MLflow and modern AI platform experience LangChain, LangGraph, Semantic Kernel, AutoGen or similar frameworks Retrieval-Augmented Generation (RAG) architectures Multi-agent orchestration platforms Responsible AI and governance experience Why Join? Join ...

stakeholder management skills for both technical and non-technical audiencesNice to haveExperience operationalizing LLM or Generative AI workflows in Databricks pipelinesFamiliarity with frameworks like LangChain, LlamaIndex or Databricks ML/MosaicMLKnowledge of AI governance, security practices and enterprise integration controlsBackground in financial trading data or related domainsOfficial Databricks certifications such ...

Context Protocol) servers and tools, exposing complex internal APIs, databases, and systems as structured, consumable tools for AI agents and applications. * Implement and integrate LangChain and/or LangGraph based agentic workflows, including multi-step reasoning chains, tool-calling pipelines, and orchestration logic. * Develop responsive, high-performance front-end applications ...

such as FastAPI.Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring. Experience creating automated evaluations for generative ...

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 Ability ...

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 Ability ...

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 Ability ...

engineers alike, and write clear documentationMentorship ability - you enjoy helping others grow and have experience guiding less experienced engineersNice to HaveLLM/AI experience - LangChain, LangGraph, RAG pipelines, prompt engineering, or fine-tuningProduction AI systems - experience with LLM observability (Langfuse), token management, streaming, and reliability patternsAWS expertise - Lambda, ECS, DynamoDB ...

pragmatic with advanced stakeholder communication, problem-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 ...

grade software. Hands-on experience with technologies such as Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying, monitoring ...

Strong experience with cloud platforms (AWS, Azure, GCP) \n Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) \n Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems \n Experience designing and scaling ...

optimize Retrieval-Augmented Generation (RAG) applications, including embedding strategies, prompt engineering and evaluation processes Design, develop and deploy AI agents using frameworks such as LangChain, LangGraph, AutoGen and similar technologies Create scalable AI workflows using Databricks, MLflow, Azure AI Foundry and cloud-native services Build and maintain robust data pipelines ...

production Strong hands-on experience with semantic search, vector databases or embeddings, and building RAG pipelines Experience with LLM orchestration and agentic frameworks (e.g. LangChain, LlamaIndex or multi-agent patterns) Prompt engineering skills, plus experience with systematic evaluation and guardrail tooling, such as hallucination detection and safety testing LLMOps/ ...

familiarity with R is advantageousPractical experience in building statistical models or predictive algorithmsHands-on exposure to contemporary AI concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services (AWS, Azure or GCP)Knowledge of MLOps practices and tools like Databricks or MLflowAbility to tackle ambiguous problems with ...