51 to 75 of 105 Permanent LangChain Jobs

solving, and leadership skills. Nice to have Rerankers (e.g., cross-encoders), structured retrieval over SQL + vectors, query rewriting/expansion, or lightweight knowledge graphs. LLM/evals tooling (LangChain/LlamaIndex/OpenAI Evals) and feature telemetry for relevance/latency/cost dashboards. Experience in B2B data products or fintech. Get in touch! If this role excites you More ❯

Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/or similar tools Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Strong communication skills, with attention to More ❯

Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/or similar tools Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Strong communication skills, with attention to More ❯

that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies … using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini More ❯

that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies … using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini More ❯

that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies … using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini More ❯

that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies … using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini More ❯

that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies … using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini More ❯

performance benchmarks and user-defined success criteria. Essential Skills & Experience Proficient in Python, with hands-on experience using APIs and popular ML/AI frameworks such as Hugging Face, LangChain, PyTorch, or TensorFlow. Solid understanding of large language models (LLMs), prompt engineering, and vector database concepts. Proven ability to rapidly prototype, experiment, and iterate in agile or fast-moving environments. More ❯

relevant languages. Ability to build AI-driven solutions using large language models (LLMs), and techniques such as retrieval-augmented generation (RAG) and agent-based approaches, supported by frameworks like LangChain and CrewAI. Skilled in leveraging AI model APIs (e.g. OpenAI, Anthropic) and rapid prototyping tools such as Streamlit, along with AI-native developer tools like Cursor, to bring ideas to More ❯

an AI/ML/Data Engineer. Experience in applying LLMs and developing, testing and deploying agentic systems in Python (ideally LangGraph) Deep knowledge of Python and relevant libraries (LangChain, LangGraph, FastAPI, Pydantic, etc) Experience in designing, building, testing, deploying and maintaining data pipelines (ideally using Airflow/Cloud Composer) Experience in deploying DevOps processes (Github, Docker, CI/CD More ❯

in designing, implementing, and deploying AI systems 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 is only required More ❯

in designing, implementing, and deploying AI systems 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 is only required More ❯

FedRAMP, CVE Management), Observability, Performance or Scale Understanding of DevOps methodology, scrum, and/or Jira. Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow. Bachelor's degree in computer science or related discipline. Remote means living elsewhere in Ireland About Red Hat is the world's leading provider More ❯

answering. · Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem. · Experience with PoC development and iterating quickly based on results. · Familiarity with LangChain, LlamaIndex, or similar agentic frameworks. · Strong debugging, profiling, and optimization skills for AI applications. More ❯

answering. · Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem. · Experience with PoC development and iterating quickly based on results. · Familiarity with LangChain, LlamaIndex, or similar agentic frameworks. · Strong debugging, profiling, and optimization skills for AI applications. More ❯

GCP, Azure). Ability to design and implement production-grade backend services. Solid understanding of software engineering practices: version control, testing, CI/CD, monitoring. Desirable Skills Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks. Experience with speech and voice AI APIs (Eleven Labs, Whisper). Knowledge of chatbot/voicebot design for customer service or sales. DevOps experience (Docker More ❯

scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and compliant use. Act as an AI More ❯

scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and compliant use. Act as an AI More ❯

for monitoring and optimization. Understanding of Responsible AI practices, including RBAC, data masking, and audit logging. Skills: Microsoft Certified: Azure AI Engineer Associate or equivalent. Experience with GitHub Copilot, LangChain, Semantic Kernel, or similar frameworks. Familiarity with CI/CD pipelines using Azure DevOps or GitHub Actions. Exposure to Power Platform extensibility and custom connector development. Education: Bachelor's Degree More ❯

industry best practices Proficiency in programming languages such as Python, R, SQL Cloud & DevOps proficiency Experience with LLM integration, RAG, and prompt engineering Experience with agent orchestration frameworks (LangGraph, LangChain, AutoGen, or similar) Proficient with code repositories like GitHub Education: Degree in Computer Science, Information Technology, Statistics, or related field from an ABET accredited program Experience: 5+ years Doctoral Degree More ❯

Ability to contribute significantly to architecture decisions and the product roadmap. A strong understanding of LLM-powered applications, including agents, tools, and prompt engineering. Experience with agent frameworks like LangChain or LangGraph. Familiarity with cloud-native systems, especially Google Cloud Platform (Firestore, GCS). Exposure to survey research tools or statistical packages. You're not afraid of maths (bonus if More ❯

across teams, and embed models directly into business processes. Think real impact, not just proof of concept. What You'll Do Build and deploy AI products using Azure ML, LangChain, LangGraph, and Fabric tools Lead Co-Pilot enablement across the firm and help shape data governance around AI use Work closely with users to develop solutions that drive measurable results More ❯

fields. Knowledge of cybersecurity frameworks and standards such as NIST, ISO, PCI, etc. Generative AI: Proven experience in developing solutions using Large Language Models and AI frameworks such as LangChain, Hugging Face, or OpenAI. Agentic AI: Experience with the concepts and practical applications of agentic AI or autonomous AI agents is highly desirable. Strong written and verbal communication skills, and More ❯

or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML libraries (e.g. Semantic Kernel, Langchain and Agentic frameworks). Experience deploying models into production using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong knowledge of data engineering principles More ❯