11 of 11 Remote Permanent Amazon Bedrock Jobs

insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

MongoDB, data modeling, and API design Experience with CI/CD, containerization, and DevOps practices Excellent problem-solving and collaboration skills 🌟 Nice to Have Experience with GenAI integrations (AWS Bedrock, LLMs, RAG, vector search) Knowledge of Core Web Vitals & frontend performance tuning Relevant certifications (Azure, MongoDB, Terraform More ❯

others and work independently Nice to Have Production experience with any of the following is a plus: GenAI, LLMs, Recommendation Engines, AWS offerings for AI and ML including SageMaker, Bedrock, Lex Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes Bachelor's degree or higher in computer science, engineering, or information systems Veeva's More ❯

with AI models and data platforms. Frontend Development: Develop responsive, high-performance user interfaces with React/Next.js. AI Integration: Connect to LLMs and ML services (e.g., OpenAI, AWS Bedrock), supporting prompt engineering, embeddings, and vector databases. Data Engineering: Handle structured and unstructured data, build ingestion pipelines, and design efficient schemas (Postgres/NoSQL). Architecture & Design: Influence technical More ❯

e.g., chatbots, summarization tools, recommendation engines). • Knowledge of application compatibility, security, and performance optimization. • Familiarity with AWS services related to frontend deployment and GenAI model hosting (e.g., SageMaker, Bedrock). Preferred Skills: • Experience with Angular and hybrid frontend architectures. • Exposure to CI/CD pipelines and cloud-native development practices. • Familiarity with GenAI frameworks and libraries (e.g., LangChain More ❯

e.g., chatbots, summarization tools, recommendation engines). • Knowledge of application compatibility, security, and performance optimization. • Familiarity with AWS services related to frontend deployment and GenAI model hosting (e.g., SageMaker, Bedrock). Preferred Skills: • Experience with Angular and hybrid frontend architectures. • Exposure to CI/CD pipelines and cloud-native development practices. • Familiarity with GenAI frameworks and libraries (e.g., LangChain More ❯

e.g., chatbots, summarization tools, recommendation engines). • Knowledge of application compatibility, security, and performance optimization. • Familiarity with AWS services related to frontend deployment and GenAI model hosting (e.g., SageMaker, Bedrock). Preferred Skills: • Experience with Angular and hybrid frontend architectures. • Exposure to CI/CD pipelines and cloud-native development practices. • Familiarity with GenAI frameworks and libraries (e.g., LangChain More ❯

Plan Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like More ❯