16 of 16 Permanent Amazon Bedrock Jobs

constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must ...

constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must ...

need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning, transformers and attention mechanisms Knowledge of RAG systems, vector databases and embeddings Experience deploying ML models to production ...

components that accelerate agentic development across teams. Develop secure, resilient, and scalable cloud-native solutions using AWS services (Lambda, ECS, S3, API Gateway, SageMaker, Bedrock, etc.) to support production-grade AI operations. Implement metrics, tracing, and evaluation pipelines that ensure transparency, reliability, and continuous improvement in agentic behavior. Collaborate ...

Assurance processes for all AI and Machine Learning Operations (MLOps) workflows. Tooling Evaluation: Continuously evaluate and recommend AI builder tools, platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI, etc.), and infrastructure choices based on performance and Total Cost of Ownership (TCO). Ethical Oversight: Ensure all AI strategies ...

Title: GenAI Senior Developer - AWS Bedrock Role Type: Contract Duration: 6 Months Location: Dallas, TX (Onsite) Experience: 7+ Years Skill Category: Digital Cloud DevOps Job Summary We are seeking a highly skilled GenAI Senior Developer with strong Cloud DevOps expertise to design, build, and deploy enterprise-grade Generative … cloud-native architectures, and DevOps automation, ensuring scalable, secure, and reliable AI platforms. Key Responsibilities Design, develop, and deploy Generative AI applications using AWS Bedrock and foundation models. Build and optimize LLM pipelines, including prompt engineering, inference workflows, and model integrations. Implement Retrieval-Augmented Generation (RAG) solutions using vector ...

experience with Retrieval-Augmented Generation (RAG) Proficiency in vector databases (Milvus, FAISS, or similar) Database integration (MongoDB/PostgreSQL, GraphDB) Experience integrating AWS Bedrock models Desired Qualifications: Prompt engineering for optimizing LLM interactions Ability to design and deploy AI agents using LangGraph, CrewAI etc Experience in multi-step reasoning ...

Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

containerisation Spec-driven development mindset NICE TO HAVE Python experience AI frameworks such as LangChain or LlamaIndex Event-driven architectures and message queues AWS Bedrock or similar AI services WORKING ARRANGEMENT & PACKAGE Hybrid working: 3 days per week in the Bristol office Flexible working hours and early finish ...

security, networking) Infrastructure as Code: AWS CDK Languages: Python and/or TypeScript Containerisation: Docker/Kubernetes AI environments and production AI workloads AWS Bedrock (nice to have) Hiring Process Initial conversation with the CTO Short project walkthrough or presentation Virtual meeting with the founders ...

days required at the office. Why this role Real impact: Ship AI features that directly influence credit research and investment decisions. Modern stack: AWS Bedrock, Python/FastAPI, RAG/GraphRAG, vector databases, and strong automated testing. Engineering culture: Clean code, measurable quality, and shipping to production—regularly. What … Design and deliver advanced AI applications on AWS Bedrock (including Converse API interfaces). Build high-performance Python/FastAPI services with comprehensive automated tests. Implement RAG/GraphRAG architectures using knowledge graphs and vector DBs (e.g., OpenSearch , Neptune Analytics ). Create scalable API endpoints for model serving; optimize ...

Snowflake, Datasphere). Develop and maintain simple applications using Javascript/Python frameworks and AWS resources. Explore and implement generative AI solutions using AWS Bedrock, including creating agents for process automation and optimization. Utilizes foundational models and prompt engineering to solve complex logistics problems and improve decision-making. Conduct … warehouses such as Snowflake and Datasphere. Basic experience in Javascript/Python frameworks and AWS cloud services. Experience with generative AI platforms like AWS Bedrock and foundational models prompt engineering. Familiarity with IoT technologies, particularly BLE tags, and their application in logistics. Agile Experience working within a Product Centric ...

drive a long-term technical vision and standards across engineering teams. Excellent communication skills and a collaborative mindset. Desirable Skills: Experience integrating AWS Bedrock tools into GenAI applications (eg, Bedrock, Guardrails, Evaluations, Agents). Implementation of LLM observability tools and evaluation frameworks. Experience building and integrating MCP Servers ...