1 to 25 of 704 Remote LLM Jobs

.NET Core, ASP.NET Core Web API, SQL, NoSQL, RestAPI, microservices, Azure, Applying Design Patterns, Agile. Proven experience with Azure cloud services and infrastructure. Demonstrated skillset in prompt engineering for LLM Models, RAG, Langchain and LangGraph. RegEx, Spacy, NLTK, and NLP techniques. Familiarity with Python, PyTorch, TensorFlow, .NET. A2A, MCP, AG-UI protocols as well as Azure ML. Ability to travel More ❯

.NET Core, ASP.NET Core Web API, SQL, NoSQL, RestAPI, microservices, Azure, Applying Design Patterns, Agile. Proven experience with Azure cloud services and infrastructure. Demonstrated skillset in prompt engineering for LLM Models, RAG, Langchain and LangGraph. RegEx, Spacy, NLTK, and NLP techniques. Familiarity with Python, PyTorch, TensorFlow, .NET. A2A, MCP, AG-UI protocols as well as Azure ML. Ability to travel More ❯

.NET Core, ASP.NET Core Web API, SQL, NoSQL, RestAPI, microservices, Azure, Applying Design Patterns, Agile. Proven experience with Azure cloud services and infrastructure. Demonstrated skillset in prompt engineering for LLM Models, RAG, Langchain and LangGraph. RegEx, Spacy, NLTK, and NLP techniques. Familiarity with Python, PyTorch, TensorFlow, .NET. A2A, MCP, AG-UI protocols as well as Azure ML. Ability to travel More ❯

.NET Core, ASP.NET Core Web API, SQL, NoSQL, RestAPI, microservices, Azure, Applying Design Patterns, Agile. Proven experience with Azure cloud services and infrastructure. Demonstrated skillset in prompt engineering for LLM Models, RAG, Langchain and LangGraph. RegEx, Spacy, NLTK, and NLP techniques. Familiarity with Python, PyTorch, TensorFlow, .NET. A2A, MCP, AG-UI protocols as well as Azure ML. Ability to travel More ❯

Preferred: Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications. Experience with agentic frameworks such as LangGraph. Advanced prompt engineering knowledge for LLM optimization. Exposure to multi-modal Gen AI models (text-image, text-audio, etc.). Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search. Experience with performance More ❯

Preferred: Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications. Experience with agentic frameworks such as LangGraph. Advanced prompt engineering knowledge for LLM optimization. Exposure to multi-modal Gen AI models (text-image, text-audio, etc.). Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search. Experience with performance More ❯

Preferred: Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications. Experience with agentic frameworks such as LangGraph. Advanced prompt engineering knowledge for LLM optimization. Exposure to multi-modal Gen AI models (text-image, text-audio, etc.). Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search. Experience with performance More ❯

Preferred: Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications. Experience with agentic frameworks such as LangGraph. Advanced prompt engineering knowledge for LLM optimization. Exposure to multi-modal Gen AI models (text-image, text-audio, etc.). Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search. Experience with performance More ❯

Preferred: Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications. Experience with agentic frameworks such as LangGraph. Advanced prompt engineering knowledge for LLM optimization. Exposure to multi-modal Gen AI models (text-image, text-audio, etc.). Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search. Experience with performance More ❯

Preferred: Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications. Experience with agentic frameworks such as LangGraph. Advanced prompt engineering knowledge for LLM optimization. Exposure to multi-modal Gen AI models (text-image, text-audio, etc.). Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search. Experience with performance More ❯

Preferred: Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications. Experience with agentic frameworks such as LangGraph. Advanced prompt engineering knowledge for LLM optimization. Exposure to multi-modal Gen AI models (text-image, text-audio, etc.). Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search. Experience with performance More ❯

ready code, troubleshooting and bug fixing Strong proficiency in LangChain, vectorDB and cloud platforms (Azure) Experience with MLOps, monitoring, and CI/CD Experience with transformer-based models, NLP, LLM models, preferably for biomedical/healthcare applications Strong interest in healthcare, with preferred experience working with healthcare data Ability to work independently and collaboratively, manage priorities, and deliver high-quality More ❯

domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If you More ❯

domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If you More ❯

domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If you More ❯

domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If you More ❯

domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If you More ❯

with AI-driven development tools such as Cursor, Copilot, or Replit Ghostwriter. Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Interest in building or orchestrating AI/LLM agents. A passion for software security and data integrity. Logistics: Compensation: Based on experience. Employment type: Permanent. Employee share option pool: Available - you will earn a stake in the company More ❯

projects in production Expert-level programming skills in Python and SQL, and fluency with leading ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Direct experience with GenAI/LLM technologies, including tools like Hugging Face, LangChain, OpenAI APIs, vector databases, and fine-tuning methods Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning), including model evaluation, explainability, and More ❯

ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines More ❯

ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines More ❯

ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines More ❯

ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines More ❯

ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines More ❯

across data science, engineering, and business teams to shape and implement transformative AI strategies, from concept through to scalable deployment. What you’ll do: ● Lead design and architecture of LLM-powered and multi-agent AI systems ● Advise senior stakeholders and run AI strategy workshops ● Oversee end-to-end solution delivery across industries such as finance, insurance, and utilities ● Mentor teams More ❯