or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or More ❯
C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version More ❯
AI/ML systems in production. Strong background in LLMs, NLP, and conversational AI (e.g., GPT, Claude, Mistral, LLaMA, etc.) Expertise with frameworks like LangChain, Hugging Face, OpenAI, RAG pipelines, and vector databases (e.g., Weaviate, Pinecone, Chroma) Solid knowledge of AI system architecture, including model serving, monitoring, and optimization Strong More ❯
engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document technical solutions and contribute to internal knowledge sharing INDIVIDUAL RESPONSIBILITIES: Take ownership of assigned technical tasks, ensuring timely and high-quality More ❯
or TypeScript (Express or similar). Experienced with React and TypeScript, using modern frameworks like Next.js or Vite. Familiarity with GenAI frameworks such as LangChain, LangGraph, CrewAI, or Vercel AI. Hands-on experience with large language models (LLMs) like OpenAI, Anthropic, Mistral, or LLaMA, and platforms like Ollama. If you More ❯
team, building LLM-powered agents, AI automation frameworks, and custom tooling for developers: Key Information: You'll be developing LLM agents using frameworks like LangChain, LangGraph, LlamaIndex or similar, as well as building AI-powered tools, and building/optimising AI features Experience in Python, TypeScript, AWS/Azure/ More ❯
backend tools in a remote, collaborative setup. What you'll need: Strong Python engineering background (AI/ML or backend) Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agent system patterns Comfortable More ❯
It’s the kind of role where your code ships and your input shapes the roadmap. 🚀 Expect work across: GenAI + LLM tooling (vLLM, LangChain, HuggingFace) RAG systems, embeddings, reranking NLP tasks like summarisation, classification, sentiment Scalable deployment in AWS (with support from DevOps) Cross-team collaboration and mentoring Why More ❯
and optimisation, particularly with MySQL. Hands-on experience integrating with AI models like ChatGPT or Gemini, including prompt crafting and API management. Familiarity with LangChain or similar orchestration tools for multi-step AI workflows. Ability to quickly learn new technologies and deliver production-ready features in a dynamic environment. Preferred More ❯
Experience with Next.js, tRPC, TypeScript, Prisma. Strong database skills ideally with MySQL. Hands-on experience integrating AI models (e.g., ChatGPT, Gemini). Familiarity with LangChain or similar orchestration tools. Fast learner, adaptable in high-paced environments. Preferred Skills: Experience deploying and fine-tuning custom AI models. Background in B2B software More ❯
TypeScript, and Prisma Practical experience integrating with AI models such as ChatGPT or Gemini, including prompt engineering and API management Familiarity with tools like LangChain (or similar) to implement multi-step AI workflows A demonstrated ability to learn quickly and deliver functional features in a fast-paced environment Preferred Qualifications More ❯
and optimisation, particularly with MySQL. Hands-on experience integrating with AI models like ChatGPT or Gemini, including prompt crafting and API management. Familiarity with LangChain or similar orchestration tools for multi-step AI workflows. Ability to quickly learn new technologies and deliver production-ready features in a dynamic environment. Preferred More ❯
TypeScript, and Prisma Practical experience integrating with AI models such as ChatGPT or Gemini, including prompt engineering and API management Familiarity with tools like LangChain (or similar) to implement multi-step AI workflows A demonstrated ability to learn quickly and deliver functional features in a fast-paced environment Preferred Qualifications More ❯
development, AI experimentation, and product innovation. The successful candidate will play a key role in architecting agent-based systems, leveraging advanced frameworks such as LangChain and LlamaIndex, and deploying real-time AI capabilities that integrate deeply with SDLC processes. Key Responsibilities LLM Agent Development: Design and implement intelligent, multi-step … agents using frameworks like LangChain, LangGraph, and LlamaIndex to enhance developer workflows. Tooling & Assistant Innovation: Develop AI-powered assistants and developer tools with an emphasis on scalability, performance, and reliability. AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned … initiatives to promote AI capabilities across teams and client projects. Ideal Candidate Profile Agentic Experience: Proven experience building agent workflows using frameworks such as LangChain, LangGraph, or equivalent. AI/ML Expertise: Solid understanding of large language models (LLMs), embeddings, vector search, and prompt engineering. Software Engineering Skills: Strong programming More ❯
role that combines software engineering, ML experimentation, and AI product innovation. You’ll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be responsible for operationalising high-performance, real-time AI systems. Key Responsibilities: LLM Agent Development: Design and build intelligent, multi-step LLM … agents using frameworks like LangChain, LangGraph, LlamaIndex, etc. AI Assistant & Tool Innovation: Build AI-powered agents, assistants, and tools to streamline workflows and enhance productivity. AI Engineering: Build, test, and optimize generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Prompt Engineering: Craft, iterate, and test prompt … AI practices. AI Advocacy: Lead workshops, demos, and documentation efforts to evangelize AI agent capabilities. Experience: Agentic Experience: Hands-on experience with frameworks like LangChain, LangGraph, or similar. Deep AI Knowledge: Strong foundation in AI/ML concepts, especially around LLMs, prompt engineering, embeddings, and vector search. Engineering Excellence: Fluency More ❯
Senior Machine Learning Engineer Remote/UK About Us: We’re revolutionizing low-code, RPA, and contact centre solutions with our cutting-edge platform. Our AI Team powers intelligent, user-focused features across automation and customer service, collaborating with product More ❯
Bytes is a top provider of premium IT solutions and services, working with SMEs, corporations, and public sector organizations to modernize and digitally transform their IT infrastructures. Founded in 1982, Bytes has experienced significant growth, now employing over 750 people More ❯
They don’t just talk about AI disruption they build it. They're building agent-based systems using LLMs, Azure AI, and frameworks like LangChain and AutoGen. They need an R&D Lead to be the hands-on maker driving this shift: prototyping, experimenting, and building the early architecture of … a shot to permanently shape the R&D function. To be considered, you’ll need: Real-world experience with LLMs and agentic frameworks (OpenAI, LangChain, AutoGen, Semantic Kernel). Strong software engineering background (.NET/C# and Azure). A builder’s mindset - experimental, action-biased, and commercially aware. There More ❯
