1 to 25 of 99 Anthropic Claude Jobs

a strong backend foundation (70%) and frontend expertise (30%) to design, build, and scale AI-driven applications. You’ll work on next-generation AI solutions leveraging OpenAI, Azure OpenAI, Claude (Anthropic) , LangChain , LangGraph , and MCP (Model Context Protocol) to orchestrate intelligent agent workflows, implement RAG (Retrieval Augmented Generation) pipelines, and integrate with vector databases and voice processing systems. … backend services using TypeScript (Node.js) and C# (.NET Core) . Implement intelligent AI pipelines using LangChain , LangGraph , MCP , and RAG frameworks. Integrate and optimize LLM APIs (OpenAI, Azure OpenAI, Claude, etc.) for production-grade use cases. Work with PostgreSQL Vector databases for embedding storage and similarity search. Develop modular and responsive React frontends for AI-driven user experiences. Implement … microservices. Frontend (30%) : Proficiency in React (TypeScript preferred). Experience with modern UI frameworks and responsive design. AI & Data Tools: Experience with OpenAI and Azure OpenAI APIs. Knowledge of Claude (Anthropic) models and integration. Hands-on experience with LangChain , LangGraph , RAG , and MCP (Model Context Protocol) . Familiarity with vector databases (PostgreSQL Vector, Pinecone, Weaviate, etc.). Understanding More ❯

Optimizations. Capable of covering Problem Definition, Data Acquisition, and Full-cycle Deployment, utilizing tools like MLflow, Cloud Platforms like AWS, Google Cloud, Azure. Proprietary Models like GPT-4 and Claude, Open-source Models like Llama and Mistral, able to deliver high-performing, scalable, and cost-efficient AI solutions. NLP libraries like NLTK, spaCy, GPT-3, BERT, and Hugging Face More ❯

automated vulnerability detection and remediation using DAST/SAST/IAST scanning tools. Experience building and deploying agentic AI solutions across technical and business domains. Technical Skills LLM expertise (Claude, OpenAI) with emphasis on reasoning and agentic use cases. Familiarity with agentic AI frameworks: LangChain, LangGraph, CrewAI. Strong understanding of context engineering, MCP, vector databases, and RAG architectures. Advanced More ❯

architecture strategy, ensuring alignment with enterprise technology standards, security frameworks, and governance principles. Design and oversee the implementation of LLM-based applications, integrating large-scale models such as GPT, Claude, Gemini, or custom fine-tuned models into enterprise systems. Partner with business and technology stakeholders to identify high-value AI use cases across automation, natural language processing, knowledge management More ❯

Do Design and develop intelligent AI agents and copilots for tasks ranging from internal productivity boosters to customer-facing automation Build and deploy applications powered by LLMs (e.g., OpenAI, Claude, Mistral, LLaMA, open-source models) Fine-tune and adapt models using LoRA, prompt engineering, RAG, and embedding-based retrieval techniques Collaborate closely with product, data, and engineering teams to More ❯

and outcomes to leadership and clients. Mandatory Skills Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud More ❯

and outcomes to leadership and clients. Mandatory Skills Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud More ❯

and outcomes to leadership and clients. Mandatory Skills Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud More ❯

findings, and outcomes to leadership and clients. Skills Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud More ❯

findings, and outcomes to leadership and clients. Skills Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud More ❯

findings, and outcomes to leadership and clients. Skills Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud More ❯

extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art 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 More ❯

extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art 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 More ❯

learn CI/CD expertise with Jenkins, GitHub/GitLab CI, Artifactory Experience with DAST/SAST/IAST security scanning automation Experience building agentic AI capabilities Skills: LLMs (Claude, OpenAI) with strong reasoning/agentic focus Agentic frameworks: LangChain, LangGraph, CrewAI RAG, vector databases, context engineering, MCP Deep understanding of cloud + DevOps automation for AI Strong troubleshooting More ❯

AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation. Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies More ❯

AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation. Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies More ❯

foundation in AI/ML (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 of accessibility standards (e.g. WCAG More ❯

data governance standards Required Skills & Experience - Active SC Clearance (mandatory) - Proven experience in Python for data science and machine learning - Hands-on expertise with LLMs (eg, GPT, BERT, LLaMA, Claude, etc.) - Familiarity with NLP tasks such as summarization, classification, entity recognition, and prompt engineering - Experience working in secure or classified environments - Strong understanding of MLOps, model deployment, and containerization More ❯

like Salesforce, Snowflake, and UiPath Strong expertise in Data Engineering, Machine Learning, Generative AI, RAG, and Agent AI Proficiency with modern AI tools and frameworks: Amazon Bedrock, Hugging Face, Claude, LLaMA, OpenAI, Grok Hands-on experience with code-gen tools like Cursor, Replit, and working on: Software code/test script generation and Multimodal and cognitive models Familiarity with More ❯

practices. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models used in compliance and risk workflows on AWS Building LLM applications (e.g. GPT, LLaMA, Claude) that automate policy checks, documentation, and audit trails Implementing end-to-end AI workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Developing scalable More ❯

a nd Res p on s i b i l i ti e s Apply experience integrating AI solutions into real-world workflows, leveraging technologies such as AWS Bedrock, Claude, AWS Comprehend, AWS Rekognition, Salesforce Einstein, Salesforce AgentForce, and more. Work directly with senior technology and business executives to evaluate AI opportunities across the business, working with vendors, performing More ❯

a nd Res p on s i b i l i ti e s Apply experience integrating AI solutions into real-world workflows, leveraging technologies such as AWS Bedrock, Claude, AWS Comprehend, AWS Rekognition, Salesforce Einstein, Salesforce AgentForce, and more. Work directly with senior technology and business executives to evaluate AI opportunities across the business, working with vendors, performing More ❯

a nd Res p on s i b i l i ti e s Apply experience integrating AI solutions into real-world workflows, leveraging technologies such as AWS Bedrock, Claude, AWS Comprehend, AWS Rekognition, Salesforce Einstein, Salesforce AgentForce, and more. Work directly with senior technology and business executives to evaluate AI opportunities across the business, working with vendors, performing More ❯

a nd Res p on s i b i l i ti e s Apply experience integrating AI solutions into real-world workflows, leveraging technologies such as AWS Bedrock, Claude, AWS Comprehend, AWS Rekognition, Salesforce Einstein, Salesforce AgentForce, and more. Work directly with senior technology and business executives to evaluate AI opportunities across the business, working with vendors, performing More ❯

a nd Res p on s i b i l i ti e s Apply experience integrating AI solutions into real-world workflows, leveraging technologies such as AWS Bedrock, Claude, AWS Comprehend, AWS Rekognition, Salesforce Einstein, Salesforce AgentForce, and more. Work directly with senior technology and business executives to evaluate AI opportunities across the business, working with vendors, performing More ❯