1 to 25 of 51 Anthropic Claude Jobs

tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases ...

across modern AI/ML ecosystems Track record of translating emerging technologies into measurable outcomes Technical Expertise Generative AI & LLMs Large Language Models (GPT, Claude, Llama, Mistral or similar) Prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) Multimodal AI (text, image, audio, video) Agentic frameworks and orchestration AI/ ...

LLMs, and integrate AI capabilities across platforms. About the Role Lead the design, implementation, and fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs ...

skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions ...

fine-tuning (supervised/unsupervised) MLOps/LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong ...

experience in the software industry (preferably SaaS) Strong experience in Python, Typescript or C# ecosystems Hands on experience with using LLMs (e.g., GPT 4, Claude, LLaMA) in production environments Experience with Retrieval Augmented Generation (RAG) systems and vector databases (e.g., FAISS, Pinecone) Familiarity with LLM evaluation techniques, including prompt ...

e.g. neural networks, NLP, transformers) Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen) A passionate, motivated and driven person Desirable skills: Experience with ASR or captioning tools Knowledge ...

Details Salary : £100,000–£130,000 + benefits Working model : Hybrid (3 days/week in London office) Tech stack : Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWS If you're a strong backend or platform engineer passionate about GenAI and excited to ship high-impact ...

Retrieval Augmented Generation), multi-agent systems and conversational agents. Strong programming skills in Python, Java or .NET. Experience with GenAI and LLMs (e.g. ChatGPT, Claude, Llama, OpenAI), including prompt engineering, fine tuning and advanced search. Familiarity with AI agent frameworks (e.g. Autogen AI) and digital assistant solutions such ...

Retrieval Augmented Generation), multi-agent systems and conversational agents. Strong programming skills in Python, Java or .NET. Experience with GenAI and LLMs (e.g. ChatGPT, Claude, Llama, OpenAI), including prompt engineering, fine tuning and advanced search. Familiarity with AI agent frameworks (e.g. Autogen AI) and digital assistant solutions such ...

using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT, Anthropic Claude, Amazon Bedrock API. Managing databases on AWS using Amazon RDS, Amazon DynamoDB or Amazon DocumentDB. Continuous integration and delivery (CI/ ...

deploy sophisticated RAG (Retrieval-Augmented Generation) pipelines to query vast proprietary financial datasets. Model Optimization: Fine-tune open-source and proprietary models (GPT-4, Claude, Llama 3) for high-accuracy financial reasoning and sentiment analysis. AI Strategy: Collaborate with data scientists and stakeholders to move AI prototypes into robust ...

Runtime: Python (FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/… Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). Competencies & Behaviours Communicates clearly with technical and non-technical teammates. Takes ownership from concept to deploy and through maintenance. Balances technical excellence with pragmatic ...

Engineering (Python/TypeScript) with 3+ years in a leadership role. Tech Stack: Extensive hands-on Azure experience and deep practical knowledge of LLMs (Claude, OpenAI, Gemini). Innovation: Practical understanding of MCP (Model Context Protocol) and tool-calling for LLMs. Domain: Proven experience with financial data . Familiarity ...

Full-stack development capability across modern technologies Client-facing experience or technical consulting skills AI curiosity and hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge ...

experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing ...

experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing ...

with GPU services for AI workloads Bonus · Exposure to professional services, finance, tax, or regulated workflows · You actively use modern AI coding tools (Cursor, Claude Code, etc.) · Strong instincts for developer experience and internal tooling Why Revax · Real ownership over core backend infrastructure · Work directly with founders on high ...

latest advancements in AI frameworks, and leverage those in your day to day work Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality. What you will bring: 5+ years ...

Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus. That includes Cursor, Claude Code, Gemini, and OpenAI APIs And finally, a strong interest in how AI supported toolchains can improve application development Position Expectations Contribute to customer ...

implementing solutions using AWS. Practical cloud-native experience, specifically with AWS. Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. ...

Location: London based - hybrid Salary: £100,000 - £160,000 + equity Tech Stack: Backend: Python (experience with FastAPI or Django or Flask beneficial) Cursor, Claude Code AWS - experience with Azure & GCP beneficial Are you a backend engineer who cares more about building robust systems and being part ...

system. This role is for a specialist who doesn't just use tools but masters the underlying architecture. You will be responsible for integrating Claude (Anthropic) and advanced AI frameworks into a live production environment to generate alpha in the Equity Options markets. The Technical Challenge: Data … routing. Key Responsibilities System Architecture: Build an end-to-end automated trading system from scratch using a modern, AI-first stack. AI Integration: Leverage Claude and LLMs for signal extraction, code optimization, and autonomous strategy refinement. High-Performance Computing: Implement predicate pushdown and efficient Parquet/Arrow storage ...

Supabase, PostgreSQL, or similar Hands on experience with AI/ML tooling : embeddings, LLM libraries, vector databases Familiarity with AI assisted development tools (Cursor, Claude Code, etc.) Background in a startup, consulting firm, or mature engineering environment Ability to work independently, own problems end to end, and operate ...

Supabase, PostgreSQL, or similar Hands on experience with AI/ML tooling : embeddings, LLM libraries, vector databases Familiarity with AI assisted development tools (Cursor, Claude Code, etc.) Background in a startup, consulting firm, or mature engineering environment Ability to work independently, own problems end to end, and operate ...