51 to 75 of 1,077 LangChain Jobs

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

model outputs, accuracy, reliability, latency, and other AI performance considerations. Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies. Experience with REST APIs, microservices, event-driven systems, or backend frameworks. Experience with SQL, NoSQL databases, data pipelines, or data-processing ...

agentic AI features - including agent orchestration, tool/function calling, and the Model Context Protocol (MCP) - or with related frameworks and patterns such as LangChain, retrieval-augmented generation (RAG), vector databases, and embeddings. Exposure to LLM platforms and services such as Anthropic, Amazon Bedrock, OpenAI, Azure OpenAI, or Google Gemini. ...

automated evals, experiment 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 ...

foundation in statistics, probability, optimization, experimentation, and applied machine learning.Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems.Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users.Strong understanding of model observability, monitoring ...

foundation in statistics, probability, optimization, experimentation, and applied machine learning.Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems.Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users.Strong understanding of model observability, monitoring ...

statistics, probability, optimization, experimentation, and applied machine learning**.* Advanced proficiency in Python and modern AI frameworks, including **PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems**.* Experience building and scaling **enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users**.* Strong understanding ...

real-world impact highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred.Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases ...

real-world impact highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred.Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases ...

real-world impact highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred.Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases ...

real-world impact highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred.Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases ...

real-world impact highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred.Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases ...

discipline. 5+ years of professional Python development experience (APIs, microservices, automation). Proven experience with LLMs (OpenAI, Anthropic, Meta, Mistral, etc.) and frameworks like LangChain or LlamaIndex. Strong knowledge of RAG architectures, vector databases (Pinecone, Weaviate, Chroma, Milvus, Supabase), and semantic search. Experience with TTS/STT systems (OpenAI Whisper ...

deploying LLM-based applications in production environments Solid expertise with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar Strong understanding of transformer architectures, LLM fine-tuning, prompt engineering, RAG systems, and vector databases Experience building scalable APIs and backend systems supporting ...