26 to 50 of 157 LangChain Jobs

agents and crew of agents etc.). Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred: Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew More ❯

ensure adoption. Define KPIs that measure impact on speed, quality, and cost of clinical trials. Innovative & Experimentation: Stay ahead of the curve on Gen AI and agentic frameworks (e.g., LangChain, Autogen, CrewAI). Evaluate emerging tools and models for integration into the product stack. Process Optimization and Quality Management: Apply Lean and Six Sigma principles to streamline AI-driven workflows More ❯

OSS models. Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion. Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. Understanding of nearest neighbor More ❯

research papers. You have strong Python skills and experience in building and maintaining production systems . You have hands on experience with agentic frameworks such as OpenAI Agents SDK, LangChain, CrewAI, or LangGraph. You've built and deployed real time multi agent applications that are deployed to and tested by real users. You communicate clearly and work well in small More ❯

Distributed Systems Advanced knowledge creating automation for GitHub, using GitHub Actions or related continuous integration tools. Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow. Experience developing, deploying or maintaining On-prem or Cloud Infrastructure Ability to quickly learn and use new tools and technologies. The following will be More ❯

e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process) Excellent knowledge of Python includingPytorch, Tensorflow andSKLearn as well as initial knowledge of LangChain andRAGAS. Familiarity with CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will be considered a plus 1+ year experience working in relevant More ❯

services is a plus. Strong hands-on experience in Python programming, service-oriented architecture, Kubernetes, and cloud deployments. 1+ years of demonstrated experience building LLM and GenAI tools, including LangChain, RAG, fine-tuning, and prompt engineering. Proficient in developing Machine learning or LLM based AI solutions (RAG or Autogen) Passing for solving complex data problems and developing cross functional solutions More ❯

using Python, SQL, NoSQL, and big data tools, preferably on AWS or Azure. You have hands-on experience with LLM operations and agentic AI tools such as GPT-5, LangChain, and vector databases. You understand MLOps, including deployment, monitoring, and CI/CD pipelines, and can effectively communicate complex technical concepts to diverse audiences. I want to work for a More ❯

communication, organisation, and problem-solving skills. Passion for innovation and ethical, scalable AI. Nice to Have Experience in digital marketing or web development (PHP, HTML, JS). Familiarity with LangChain , RAGAS , or similar frameworks. More ❯

communication, organisation, and problem-solving skills. Passion for innovation and ethical, scalable AI. Nice to Have Experience in digital marketing or web development (PHP, HTML, JS). Familiarity with LangChain , RAGAS , or similar frameworks. More ❯

deploying machine learning models in a production environment. Strong programming skills and deep expertise in Python. Hands-on experience building with agentic or RAG (Retrieval-Augmented Generation) frameworks like LangChain or LlamaIndex. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Practical experience using managed AI services and foundation More ❯

deploying machine learning models in a production environment. Strong programming skills and deep expertise in Python. Hands-on experience building with agentic or RAG (Retrieval-Augmented Generation) frameworks like LangChain or LlamaIndex. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Practical experience using managed AI services and foundation More ❯

computing, and best coding practices. Required Skills & Qualifications: Strong proficiency in Python with experience working with AI projects. Hands-on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain Expertise in Microsoft Azure, including Azure services like Azure Functions, Logic Apps, and Azure Key Vault or the AWS equivalent. Solid understanding of RESTful API development and microservices architecture. Experience More ❯

with data scientists, software engineers, and subject-matter experts to deliver innovative solutions. Essential Skills & Experience Advanced Python programming skills with hands-on experience using NumPy, Pandas, Scikit-learn, Langchain, LlamaIndex , and Azure AI Foundry . Proven experience working with Azure cloud services and Generative AI R&D. Strong understanding of machine learning, data modelling , and natural language processing (NLP More ❯

adoption and contribute to the wider AI ecosystem. Culture: Join a fast-moving team operating at the frontier of applied AI. Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers, AI Jobs Remote. More ❯

writing research papers. You have strong Python skills and experience in building and maintaining production systems. You have hands-on experience with agentic frameworks such as OpenAI Agents SDK, LangChain, CrewAI, or LangGraph. You've built and deployed real time multi-agent applications that are deployed to and tested by real users. You communicate clearly and work well in small More ❯

LLMs, BERT, RoBERTa, GPT-family). Design and implement scalable data pipelines using Python, spaCy, Pandas, and Hugging Face Transformers. Build or enhance retrieval-augmented generation (RAG) systems using LangChain and vector databases like FAISS, Weaviate, or Pinecone. Package and deploy solutions via Docker, Kubernetes, or Vertex AI/SageMaker. Collaborate with internal MLOps and Data Science teams to ensure More ❯

Augmented Generation (RAG), and graph databases 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 Experience designing or integrating More ❯

Augmented Generation (RAG), and graph databases 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 Experience designing or integrating More ❯

Augmented Generation (RAG), and graph databases 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 Experience designing or integrating More ❯

a fully automated AWS environment (Terraform, Ansible, GitHub Actions). Alongside this, we're building the next generation of our data and AI infrastructure — exploring frameworks like Hugging Face, LangChain, LlamaIndex and agent orchestration systems. We use Cursor and Copilot to speed iteration and experimentation. We're always open to new approaches, whether it's a different data stack, AI More ❯

be focused on our backend system (Symfony, PHP) and our data products (BigQuery, DBT, Airflow), but there will be opportunities to work across the platform including, agentic AI (Python, Langchain), frontend (React, TypeScript), the APIs (GraphQL, REST), our integration tool of choice (Tray.ai) and all the other tools and technologies that keep everything humming. You don't need to be More ❯

LLM providers (e.g. OpenAI, Anthropic, Google) and an understanding of their comparative strengths, trade-offs, and integration models. Experience with AI/ML toolchains such as OpenAI, Hugging Face, LangChain, or custom model serving. Demonstrated ability to work on greenfield projects, defining new patterns, processes, and tooling from the ground up. Experience with GitHub Actions, Terraform, or similar DevOps tooling. More ❯

ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory More ❯

ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory More ❯