1 to 25 of 116 LangChain Jobs

. Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs/Generative AI (OpenAI, Hugging Face, LangChain). Cloud experience (AWS, Azure, or GCP). Experience building AI APIs and microservices. Education Bachelor’s or Master’s degree in Computer Science, Data ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding ...

What You’ll Do Develop AI Applications & Agentic Systems Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs ...

. Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs/Generative AI (OpenAI, Hugging Face, LangChain). Cloud experience (AWS, Azure, or GCP). Experience building AI APIs and microservices. Education Bachelors or masters degree in computer science, Data Science ...

enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions ...

training, inference • Experience integrating AI models into real-world applications • Proficiency in Python, and familiarity with common AI frameworks and platforms (e.g. PyTorch, LangChain etc.). • Hands-on experience with cloud platforms (Azure/AWS), containerisation (Docker), and orchestration (Kubernetes). • Good understanding of deep learning architectures, neural networks ...

/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures ...

systems. Expertise in building agentic AI systems, multi-agent orchestration, or advanced reasoning pipelines. Strong proficiency in: Python ML frameworks (PyTorch, TensorFlow) LLM frameworks (LangChain, LlamaIndex, DSPy preferred) Vector databases (Pinecone, Weaviate, FAISS) Cloud platforms (Azure/AWS/Google Cloud Platform) MLflow or equivalent for MLOps/LLMOps Experience ...

designed for you. What Youll Do Architect Agentic & GenAI Systems Design, build, and optimise production-grade Generative AI applications using frameworks such as LangChain, LangGraph, and LlamaIndex . Integrate with leading LLMs including GPT, Claude, Gemini , as well as self-hosted and fine-tuned models where required. Define patterns ...

agents with enterprise systems, APIs, and data sources for autoremediation. Develop scalable, reliable, and secure AI agent architectures. Stay current with GenAI agent frameworks (LangChain, LlamaIndex, Autogen) and IT automation trends. Build intuitive frontends (Next.js, React, TypeScript) and backend services (Python). Provide technical guidance on agentic AI principles ...

Guardrails, MLOps and multi-modality Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! Experience in legacy environments ...

version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. ...

preferred. Advanced proficiency with Python, Java, and Scala. Strong computer science fundamentals such as algorithms, data structures, multithreading. Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG. Experience using ML and DL Libraries: XGBoost, SKlearn, Tensorflow or PyTorch. In depth experience building solutions using public ...

solutions , this is a strong next step. What Youll Be Doing Build Generative AI Solutions Develop and enhance GenAI applications using frameworks such as LangChain, LangGraph, or LlamaIndex , integrating with LLMs including GPT, Claude, and Gemini . Implement RAG Pipelines Support the design and delivery of Retrieval-Augmented Generation ...

systems Hands-on experience with LLMs, RAG, vector databases, and GenAI frameworks Experience deploying solutions on cloud platforms (AWS, Azure, or GCP) Familiarity with LangChain, LlamaIndex, or agentic frameworks is highly valuable Strong grounding in software engineering best practices (testing, versioning, CI/CD, scalability) Mindset & Behaviours: Seek ownership ...

during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication and collaboration skills to partner across engineering, product ...

models, databases, ETL, and data pipelines. Experience with cloud (AWS/Azure/GCP) and MLOps. Expertise in generative AI & LLMs (OpenAI, Hugging Face, LangChain, vectors). Exceptional communicator and client‐facing collaborator. Preferred: Advanced degrees or relevant certifications. Experience with agentic AI tools and governance principles. Leadership or project ...

strong stakeholder management Proficiency across Python or Java, ML frameworks (TensorFlow, PyTorch, scikit-learn), and cloud AI services Knowledge of agentic tools such as LangChain Agents, AutoGPT, and CrewAI, plus familiarity with GenAI/LLM integrations (e.g., Hugging Face, RAG, OpenAI) STEM background and clear communication skills — able to translate ...

Scikit‐learn, XGBoost, LightGBM, CatBoost Time‐series forecasting (Prophet, SARIMAX, ML‐based approaches) Optimisation frameworks (OR‐Tools, Pyomo) Agentic AI & LLMs (Nice to Have) LangChain or Semantic Kernel Vector databases (Pinecone, Weaviate, Milvus, Azure Vector DB) Evaluation frameworks (LangSmith, DeepEval) LLM integration (OpenAI/Azure OpenAI) Software Engineering & Platform Docker ...

like Regression, Classification, Time Series Forecasting, Recommendation, Outlier Detection. You have experience with Generative AI, including different large language models, embeddings, and libraries like LangChain or Llamaindex. You have strong proficiency in Python and Machine Learning libraries (e.g. scikit-learn, PyTorch, TensorFlow) and experience with the AWS ecosystem. You have ...

expertise in platforms like Workday. Agent Design: Design and architect multi-step, autonomous AI agent systems (leveraging LLMs, Vector Databases, and orchestration frameworks like LangChain/AutoGen), focusing on scalability, reliability, and observability. Architecture Governance: Establish best practices, technical standards, and Quality Assurance processes for all AI and Machine Learning ...

deployment and automation.Proficiency in at least one modern programming language used in AI/ML systems (Python, Java, Go, etc.Familiarity with frameworks such as LangChain, LlamaIndex, LiteLLM, or equivalent orchestration layers.Familiarity with Microsoft M365 Copilot (strongly preferred) and Salesforce Agentforce (nice to have), particularly in the context of LLM integration ...

development. Excellent communication skills and experience mentoring engineers and collaborating across product, design and ML teams. Preferred Requirements Familiarity with LLM orchestration and tools (LangChain, LlamaIndex, Haystack, OpenAI/Anthropic SDKs). Advanced visualization/graphics skills or experience building interactive applications Experience with design systems and component libraries (Figma ...

experience with LLMs & Generative AI , including: Retrieval-Augmented Generation (RAG) Prompt & context engineering Agentic/multi-agent architectures Experience with frameworks such as LangChain, LangGraph, LangSmith or similar Solid NLP background (tokenisation, embeddings, transformers, BERT-style models, sentiment analysis) Experience integrating vector databases (e.g. Azure AI Search, OpenSearch, Pinecone, Weaviate ...

years experience in a commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge of RAG pipelines , transformers , and modern AI architectures . Understanding of deployment or MLOps best practices (Azure ...