1 to 25 of 29 LlamaIndex Jobs

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 and modern ...

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 along with MCP integrations ...

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 with ...

machine learning, including good experience in machine learning engineering, NLP, Generative AI, and LLM technologies. Experience with LLM Agentic workflows and frameworks (Langchain, LangGraph, LlamaIndex, etc.). Knowledge and experience with transformer architectures, prompt engineering, retrieval-augmented generation (RAG), guardrails, and LLM evaluation methodologies. Proficiency in spoken and written English ...

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 for agent orchestration ...

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 and best ...

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 ...

ability to present complex technical concepts to executive, non-technical audiences. Experience with low-code/no-code AI agent builder tools (e.g., Flowise, LlamaIndex) is preferred . Prior experience integrating AI/ML models within complex enterprise platforms is preferred . Exposure to developing non-AI applications within complex ...

scalable deployments. Mandatory Skills: - Expertise in Generative AI, embeddings, vector search, and model orchestration. - Strong programming skills in Python and Java. - Experience with LangChain, LlamaIndex, Hugging Face. - Knowledge of cloud AI platforms (Azure AI Services, AWS Bedrock, GCP Vertex AI). - Hands-on experience with Docker, Kubernetes, GitLab CI/ ...

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, not just ...

embeddings, semantic search, text classification, and summarisation. Strong understanding of Large Language Models (LLMs) and Generative AI (GAI), with hands-on experience in LangGraph, LlamaIndex, OpenAI APIs, and Model Context Protocol (MCP). Knowledge of statistics, probability, and model evaluation techniques. experience with Retrieval-Augmented Generation (RAG) and vector databases ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...

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 workflows ...

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 (RAG) solutions using vector databases ...

frameworks (e.g. PyTorch, Scikit-learn, Pandas, Jupyter) Hands-on experience with LLMs, including fine-tuning, inference, RAG and multi-agent workflows (e.g. LangChain, LlamaIndex, vector databases) Experience building production-grade ML systems Familiarity with ML platforms and tooling (e.g. MLflow, Weights & Biases, ClearML) Experience with cloud platforms (AWS and/ ...

6+ years’ experience delivering production AI/ML systems Strong Python and SQL Proven hands-on GenAI experience (LLMs/RAG; LangChain/LlamaIndex/LangGraph-style tooling preferred) A track record of autonomous ownership - running projects with minimal supervision Strong stakeholder engagement: can influence and communicate with non-technical ...

Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with ...

Proficiency in programming languages such as Python, JavaScipt, TypeScript, or R, and familiarity with AI development tools and libraries like TensorFlow, PyTorch, LangChain or LlamaIndex Knowledge of vector databases and data platforms Demonstrated ability to lead projects, manage teams, and drive projects to completion under tight deadlines (Management of teams ...

architectures and agentic AI patterns Basic understanding of hybrid prompting techniques Experience with Generative AI frameworks and tools such as LangChain, Hugging Face, LlamaIndex, or similar Desired/Good-to-Have Skills Experience working with Gemini LLM or other enterprise LLMs Hands-on experience with machine learning frameworks such ...

Agile or Scrum. Familiarity with AI technologies (RAG and LLMs are a big plus). Understand Model development with Generative AI such as GPT, Llamaindex, langchain etc Openshift container experience is a plus. Compensation: Hourly Rate: $60 - $68/hr This range reflects base compensation and may vary based ...

applications using Python , TypeScript , and modern front end frameworks Build intuitive, component based UIs with Tailwind CSS Integrate LLMs and AI capabilities via LangChain, LlamaIndex , or similar frameworks Design and maintain database schemas using Supabase or other relational technologies Manage code through GitHub with professional version control practices Deploy ...

applications using Python , TypeScript , and modern front end frameworks Build intuitive, component based UIs with Tailwind CSS Integrate LLMs and AI capabilities via LangChain, LlamaIndex , or similar frameworks Design and maintain database schemas using Supabase or other relational technologies Manage code through GitHub with professional version control practices Deploy ...

experience with AI Workbenches on major cloud platforms, such as Gemini Enterprise, Azure AI Agent Familiarity with GenAI frameworks and libraries like LangChain, LlamaIndex, or Hugging Face. A solid understanding of generative AI concepts, models, and frameworks. Knowledge of the wider commerce technology stack, including PXM, CMS, and CDP platforms. ...

adoption and usage of the AI platform across business units. What You Bring Core Qualifications Proven experience developing GenAI applications using frameworks such as LlamaIndex, LangGraph, or similar. Strong understanding of LLM model families, providers, and performance trade-offs. 5+ years (Senior/Lead) or 8+ years (Principal) building large ...

experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents (LangChain, LlamaIndex, custom architectures) What We Offer Work directly with an NVIDIA DGX system Build AI systems from the ground up Very high autonomy Exposure to private ...