11 of 11 Remote/Hybrid Permanent LlamaIndex Jobs

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 ...

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/MLOps ...

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 ...

enterprise applications.Deep expertise in Java, Spring Boot, RESTful APIs and gRPC services.Strong proficiency in Python, prompt patterns, LLM orchestration frameworks such as LangChain or LlamaIndex, and working with vector databases.Hands-on experience with Kafka, RDBMS/SQL, NoSQL and high-performance caching architectures.Experience with CI/CD pipelines (Jenkins, GitHub ...

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 ...

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 ...

AgentCore or comparable approaches for agent runtime, memory, tool access, and identity. Proficiency with at least one agent framework, such as Strands Agents, LangGraph, LlamaIndex, CrewAI, or a custom orchestration layer. You should be able to explain when a simple workflow beats a multi-agent design. Strong Python skills plus ...

grade AI features. Write clean, well-tested code (Python and/or TypeScript) to deliver production applications using LLM APIs, orchestration frameworks (e.g., LangChain, LlamaIndex), and CI/CD pipelines — from prototype through deployment and monitoring. Design evaluation and quality framework. Build automated evaluation pipelines, test sets, and quality metrics … agent/tool-use development, and evaluation frameworks. Strong programming proficiency in Python, with experience in AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, Hugging Face, or equivalent orchestration tools); proficiency in an additional language (TypeScript, Java) is a plus. AI‐Assisted Software Development – Demonstrated proficiency leveraging AI development ...

security Strong programming skills in Python/Java Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) Familiarity with AI tooling (e.g., LangChain, LlamaIndex, red-teaming toolkits) Proven ability to assess and secure AI systems end-to-end Nice to Have Masters degree in Computer Science, Cybersecurity, AI/ ...

security Strong programming skills in Python/Java Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) Familiarity with AI tooling (e.g., LangChain, LlamaIndex, red-teaming toolkits) Proven ability to assess and secure AI systems end-to-end Nice to Have Master's degree in Computer Science, Cybersecurity, AI/ ...