11 of 11 LangChain Jobs in the South East

Strong expertise in LLMs and RAG architectures , including models such as OpenAI, LLaMA, Mistral or Claude. Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI or LangGraph . Experience designing AI systems using vector databases (e.g. Pinecone, Weaviate, FAISS). Solid understanding of prompt engineering, model tuning ...

Experience building applications using LLMs (GPT, Llama, Mistral, Claude) including prompt engineering, fine-tuning and evaluation. Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex and agent frameworks like AutoGen, CrewAI or LangGraph . Experience building RAG architectures with vector databases (Pinecone, Weaviate, FAISS). Strong understanding of MLOps ...

LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical ...

version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. ...

their practical application. And AI FinOps & Model Routing Framework Expertise : Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Thought Leadership & Open Source : Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects. Certifications : Professional-level cloud certifications ...

etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps ...

develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science ...

Lead AI Architect - Permanent - Hybrid - Insurance OverviewAs a Lead AI Architect, you will define and drive AI architecture strategy, supporting clients to design, implement, and operate scalable platforms that enable the effective deployment of AI ...

across the digital twin pipelines Nice to have: Building agents/multi-agent systems Developing Retrieval-Augmented Generation (RAG) systems Agentic frameworks: LangGraph/LangChain Deployed LLMs at enterprise scale Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary ...

Doing Designing and delivering structured training (2–3 days/week) on: Agentic AI patterns and frameworks Multi-agent orchestration Retrieval-augmented workflows LangChain, LlamaIndex, or similar agent toolkits Evaluation, monitoring, and safety Best practices for productionising agentic systems Advising engineering teams during hands-on sessions Helping define capability uplift … guidance around responsible & safe AI use Required Experience 5+ years in Software/AI Engineering Strong hands-on experience with: Python LLM orchestration frameworks (LangChain, OpenAI Agents, CrewAI, Haystack, etc.) Agentic AI design and deployment RAG, vector stores, prompt engineering Prior experience delivering technical training or mentoring Ability to translate ...

Designing, training and deploying AI and ML models on complex, large-scale data. Building GenAI solutions using techniques such as RAG and frameworks like LangChain and related tooling. Working full-stack across data ingestion, feature engineering, modelling and serving. Combining modern GenAI approaches with classical machine learning techniques to improve … Machine Learning Engineer working on end-to-end solutions. Hands-on experience with GenAI, including RAG and tools such as LangChain or similar frameworks. Proficiency in Python and experience working with a modern cloud environment, ideally GCP. Confidence working across the data lifecycle, including aspects of data engineering. Ability ...