51 to 75 of 173 LangChain Jobs

Context engineering Prompt orchestration LLM deployment experience, not just experimentation Azure OpenAI, Ollama and/or Vertex AI Python, FastAPI and REST API development LangChain and/or LangGraph AKS, Kubernetes, Docker and Helm Secure AI development and DevSecOps practices including: RBAC Azure AD Key Vault Secrets management Secure deployment ...

infrastructure-as-code tools such as Terraform and Helm. Advanced/Specialist Expertise Experience building and deploying GenAI solutions using frameworks such as LangChain and Azure OpenAI. Development of enterprise-grade RAG (Retrieval-Augmented Generation) systems, including context engineering and multimodal data pipelines. Design and deployment of autonomous multi-agent ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

platforms (e.g., Agentforce, Copilot Studio). Knowledge of AI compliance requirements: GDPR, EU AI Act, SOC2, HIPAA. Open‐source or research contributions to LangChain, RAG, or Knowledge Graph communities. Location Preference UK – London Equal Opportunity Statement Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate ...

FastAPI), Go, TypeScript (Node.js) Databases: PostgreSQL, Redis, Pinecone/pgvector Infra: AWS (ECS, Lambda, SQS/SNS), Docker, Kubernetes, Terraform AI/ML tooling: LangChain/LlamaIndex, vLLM, Anthropic & OpenAI APIs, embedding models Observability: Datadog, Grafana, OpenTelemetry CI/CD: GitHub Actions, ArgoCD Requirements: 4+ years backend development experience, ideally ...

Good understanding of CI/CD, Infrastructure as Code and release automation. Strong problem-solving, communication and stakeholder collaboration skills. Preferred Skills Experience with LangChain, LangGraph, Semantic Kernel, CrewAI or similar agent frameworks. Experience with Bedrock Knowledge Bases, vector databases such as OpenSearch, Pinecone or Weaviate, and embedding-based retrieval ...

clearance Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns ...

reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red‐teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi‐agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross‐modal reasoning ...

Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI Hands-on experience working with Distributed Spark based systems. Experience communicating and teaching technical concepts to non-technical and technical audiences alike Passion ...

lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings ...

real-world tasks (text, code, image, multimodal generation) and familiarity with advanced prompt engineering, structured outputs, function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands‐on exposure to API-based LLM providers (Claude, GPT, Gemini) and open‐source solutions (Llama, Mistral). Agentic … Claude, Gemini, Llama, Mistral; multimodal and reasoning models; context windows, tokenization, fine‐tuning (LoRA/PEFT); RLHF/RLAIF concepts LLM application & agent frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel, Haystack, CrewAI, AutoGen Interoperability & integration: MCP, function/tool calling, structured outputs, API integration, event‐driven and orchestration patterns Cloud ...

Bring Strong Python development experience building production AI applications. Proven experience developing Agentic AI, LLM and RAG solutions. Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar. Experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service and Azure AI Search. Understanding of LLM evaluation ...

environment. Required Experience : Software engineering with strong expertise in Python development. AI Knowledge : Familiarity with LLMs and Generative AI solutions, along with frameworks like LangChain or LangGraph. Technical Skills : Proficiency in API design and integration, SQL, data processing, Git, and CI/CD practises. Production Focus : A solid engineering mindset ...

environment. Required Experience : Software engineering with strong expertise in Python development. AI Knowledge : Familiarity with LLMs and Generative AI solutions, along with frameworks like LangChain or LangGraph. Technical Skills : Proficiency in API design and integration, SQL, data processing, Git, and CI/CD practises. Production Focus : A solid engineering mindset ...

developing Generative AI and Agentic AI solutions Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar Experience designing, evaluating, and optimising prompts for Large Language Models Experience deploying AI solutions into cloud environments, ideally Azure Strong ...

Microsoft Agent Framework Semantic Kernel Power Platform Enterprise Data Platforms Azure Machine Learning Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) Agentic AI architectures LangChain/LangGraph MLOps & LLMOps Cloud-native architectures Data governance and security frameworks What We're Looking For You'll likely be operating ...

Microsoft Agent Framework Semantic Kernel Power Platform Enterprise Data Platforms Azure Machine Learning Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) Agentic AI architectures LangChain/LangGraph MLOps & LLMOps Cloud-native architectures Data governance and security frameworks What We're Looking For You'll likely be operating ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands‐on experience working with Distributed Spark based systems. Experience with data engineering concepts or a good understanding of data engineering concepts. Pre‐sales ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands‐on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands‐on experience working with Distributed Spark based systems. Experience with data engineering concepts or a good understanding of data engineering concepts. Pre‐sales ...

Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Guardrails AI Evaluation Frameworks Experience with AI frameworks such as Agent Development Kit (ADK), LangChain, LangGraph, CrewAI, or similar. Experience working with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Strong understanding of system reliability, observability, monitoring ...