with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraph Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven experience deploying and operating ML systems in production (batch and real-time). Familiarity More ❯
Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc ) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback More ❯
AI solutions; evidence of 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, and generative architectures; related security More ❯
distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI solutions More ❯
explain complex technical concepts to both technical and non-technical audiences. Preferred Qualifications (Nice to Have) Direct, hands-on experience designing or building systems using agentic AI frameworks (e.g. LangGraph, CrewAI). Knowledge of semantic web technologies, including ontologies (OWL/RDF) and graph databases (e.g., Neo4j). Familiarity with the concepts behind the Model Context Protocol (MCP) or similar More ❯
of multiple functional areas in our platform - from development to production About You Basic Qualifications: 5+ years of experience in software engineering Expert level proficiency in Python Experience in LangGraph, LangChain, and LangSmith Proficiency in at least one other statically-typed language such as Java, Scala, Rust, or C++ Demonstrated, hands-on experience building applications with Large Language Models Other More ❯
for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure, GCP) with their AI/ML offerings Preferably hands-on experience with voice More ❯
Hugging Face and OpenAI SDKs. Strong background in modern deep learning techniques, LLMs, and data-intensive applications. Familiarity with state-of-the-art agentic AI frameworks (e.g., LangChain, AutoGen, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, Google's ADK) and experience orchestrating multi-agent workflows. Knowledge of techniques for optimizing ML inference performance. Hands-on expertise designing and managing batch and real More ❯
whilst incorporating new ideas and techniques into the team. What Youll Bring 3+ years experience in Generative AI experience Proven experience with language-based Generative AI eg. LangChain, LangSmith, LangGraph, RAG, Proficiency in Python, data science libraries such as numpy, Pandas, scikit-learn Experienced in LLM frameworks such as LangChain Strong client-facing consulting or B2B experience Ability to build More ❯
Hampton, Virginia, United States Hybrid / WFH Options
Iron EagleX, Inc
Mistral, etc.). Implement model fine-tuning methods, including soft prompting, adapters, and supervised fine-tuning. Develop AI-driven automation workflows using agent-based architectures and frameworks such as LangGraph and OpenAI function calling. Write, test, and maintain Python code for AI model development and integration. Utilize version control systems (Git) to manage code changes and collaboration Qualifications Required Skills More ❯
looking for a Senior GenAI Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as More ❯
AI and ML, whilst planning, developing, and maintaining production. What Youll Bring 3+ years experience in Generative AI experience Proven experience with language-based Generative AI eg. LangChain, LangSmith, LangGraph, RAG, Proficiency in Python, data science libraries such as numpy, Pandas, scikit-learn Experienced in LLM frameworks such as LangChain Ability to build and create prototypes in a fast-paced More ❯
following 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 More ❯
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 of enterprise software solutions More ❯
or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some experience with frontend software development (e.g. More ❯
or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some experience with frontend software development (e.g. More ❯
or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some experience with frontend software development (e.g. More ❯
multi-container applications. Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations. Knowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology More ❯
multi-container applications. Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations. Knowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology More ❯
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, and … 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, and More ❯
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, and … 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, and More ❯
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, and … 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, and More ❯
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, and … 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, and More ❯
london (city of london), south east england, united kingdom
HCLTech
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, and … 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, and More ❯
