1 to 25 of 40 Remote LlamaIndex Jobs

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

practices, testing, version control, and deployment. Ability to work with technical and non-technical stakeholders. Desirable Skills Experience with OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar tools. Experience deploying AI models or AI applications into production. Knowledge of MLOps, CI/CD, monitoring, and model evaluation. Experience ...

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, monitoring ...

agentic AI systems.* Strong Python programming skills.* Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures.* Experience using LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar AI frameworks.* Experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, ChromaDB, or equivalent.* Experience with graph databases, knowledge graphs ...

optimization techniques* Knowledge of Fine-Tuning methodologies, including LoRA and QLoRA* Experience working with Hugging Face libraries and model repositories* Proficiency in LangChain and LlamaIndex for building AI-powered workflows* Experience implementing Retrieval-Augmented Generation (RAG) frameworks* Knowledge of Vector Databases and Hybrid Search techniques* Strong understanding of Natural Language ...

mentoring engineers. Desirable Experience within EdTech, SaaS, or digital consumer products. Knowledge of adaptive learning, recommendation systems, or educational analytics. Experience with LangChain, LlamaIndex, vector databases, and AI orchestration frameworks. Understanding of responsible AI, privacy, and ethical AI development. Passion for improving education through technology. Reference: AMC/DJA/ ...

tracking, observability, model lifecycle management. Responsible AI : governance frameworks, guardrails, model safety, compliance, and auditability. Preferred but not required Orchestration frameworks : LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent architectures, planning ...

into real-world systems Experience with LLMs, RAG, vector search, conversational AI, or unstructured data pipelines Familiarity with AI tooling/frameworks (e.g. LangChain, LlamaIndex, Haystack, Hugging Face, CrewAI) Experience leading SaaS/cloud-based HR or enterprise platforms Skilled at using data and analytics to identify outcomes and improve ...

into real-world systems Experience with LLMs, RAG, vector search, conversational AI, or unstructured data pipelines Familiarity with AI tooling/frameworks (e.g. LangChain, LlamaIndex, Haystack, Hugging Face, CrewAI) Experience leading SaaS/cloud-based HR or enterprise platforms Skilled at using data and analytics to identify outcomes and improve ...

advanced stakeholder communication, problem-solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/Developer ...

both technical and non-technical audiences Nice to have Experience operationalizing LLM or Generative AI workflows in Databricks pipelines Familiarity with frameworks like LangChain, LlamaIndex or Databricks ML/MosaicML Knowledge of AI governance, security practices and enterprise integration controls Background in financial trading data or related domains Official Databricks ...

MLOps, observability, and cloud-native AI deploymentExcellent communication, problem-solving, and project management skills in agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination ...

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 ...

essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) LLM evaluation, guardrails, and red-teaming tooling (hallucination detection, safety/bias testing) LLMOps/MLOps: model versioning, deployment pipelines ...

designed and built. Bonus PointsExperience with any of the following would be highly advantageous: AI gateways and model routingPrompt management platformsAI evaluation frameworksLangGraph, LangChain, LlamaIndex, DSPy, CrewAI or similar orchestration frameworksVector databases and semantic retrievalKnowledge graphs or document understanding systemsBuilding internal AI platforms used by multiple engineering teamsBenefitsWe ...

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 ...

proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: Experience working in a major Consulting firm, and/or in industry ...

proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry ...

MySQL, Oracle, SQL, Postgres, RDS, Aurora, Athena or other similar large scale database technologies. Experience working with AI framework such as LangChain/LlamaIndex Experience with Vector databases (Pinecone, Weaviate, FAISS) This is an outline description of the key responsibilities and accountabilities involved in the job. This ...

frameworks, benchmarking systems, or automated testing pipelinesHands-on experience with agentic workflows, tool-using AI systems, or multi-agent coordination (examples include: langgraph, AutoGPT, LLamaIndex)Experience with data-centric ML approaches including synthetic data generation, data curation, or curriculum learning pipelinesExperience training large-scale models over distributed nodes with cloud ...

policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. ...

policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. ...

policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. ...

impact of your work Although not essential, it would be great if you have practical experience with: Experience with Spring AI, LangChain, LangGraph, LlamaIndex, or similar AI application frameworks Familiarity with modern front-end technologies (such as React and Next.js). Python Kubernetes, Docker and CI/CD tools ...