AWS：77,231 個職缺
瀏覽與 AWS 相關的開放職缺。
Ai Research Engineer
Entry-level freelance AI Research Engineer role owning end-to-end feature development on a Procure to Pay project. Day-to-day work spans writing scalable code, ML model development and deployment, code reviews, mentoring, and cross-functional collaboration with PM/design/QA.
Senior Software Engineer
Design, build, and scale the backend of AI-powered recruiting products, including data-driven applications, REST and WebSocket APIs, real-time pipelines, and third-party integrations. Day-to-day work centers on Python, FastAPI, MongoDB, vector databases, Celery/Redis, and Docker on Kubernetes/AWS.
Solution Architect
Lead the design and architecture of a scalable eCommerce platform, including data modeling, customer profiling, API design, and integration with CMS, CRM, and payment gateways. Core technologies include eCommerce platforms (Shopify, Magento, WooCommerce), AWS/Azure, and web technologies (HTML, CSS, JavaScript).
Java Solution Architect
Java Solution Architect designing scalable, resilient microservices using Spring Boot and Domain-Driven Design, providing technical leadership, API/integration design, and end-to-end digital solution delivery across web and mobile platforms with security, performance, and DevOps best practices.
Senior AWS Cloud Engineer
Remote Senior AWS Cloud Engineer managing AWS infrastructure with deep RDS focus, troubleshooting production issues across EC2/ALB/VPC/IAM, and performing end-to-end root cause analysis in distributed environments.
Ai Architect
Hands-on AI Architect designing and deploying production-grade Generative AI systems on AWS, including RAG pipelines, chatbots, and AI assistants using LLMs (GPT, Claude, Mixtral), vector databases, and AWS services. Onsite 3 days/week in Raleigh.
Senior Implementation Engineer
Title: Senior Implementation Engineer Industry: Information Technology | Work Mode: Onsite | Location: Washington, D.C., USA Role Summary Embark on a rewarding career in the Information Technology industry as a Senior…
Forward Deployed Engineer
Forward Deployed Engineer implementing Palantir Foundry & AIP solutions for clients—driving data integration, ontology design, OSDK, and platform governance using Python, TypeScript, React, PySpark, and cloud/data tooling.
Java Developer
Freelance remote Java Developer building scalable backend systems and microservices, with responsibilities spanning end-to-end feature development, code reviews, and performance optimization, leveraging Java, Spring Boot, Microservices, and REST APIs.
Ai/ml Engineer
A freelance remote AI/ML engineer develops and deploys large-scale systems for intelligent automation, predictive analytics, NLP, and generative AI, using Python, deep-learning frameworks, data engineering, and MLOps across AWS and other cloud platforms.
Ai/ml Engineer
Freelance AI/ML Engineer role focused on building a large-scale AI/ML platform with LLM, RAG, NLP, and generative AI capabilities. Day-to-day work involves data engineering, model development, deployment, MLOps, and system optimization using Python, TensorFlow, Scikit-learn, and AWS in a remote setting.
AI Solution Architect
Designs and implements scalable AI solutions, leads architecture decisions, mentors junior team members, and partners cross-functionally with product and business stakeholders. Core tech: Python, PyTorch, TensorFlow, AWS Bedrock, SageMaker, Azure OpenAI, Vertex AI, LLM orchestration, RAG, and vector databases.
Product Manager – AI
Freelance onsite Product Manager – AI in Delhi leading AI-driven product initiatives end-to-end, partnering with engineering, design, and marketing on strategy, roadmaps, and agile delivery across generative AI, LLMs, and MLOps.
AI Quality Assurance Engineer
Onsite AI Quality Assurance Engineer in Delhi building and executing test plans, automated frameworks, and regression/load/API suites to validate AI-driven software products, collaborating with cross-functional teams to improve product reliability.
Mlops Engineer
Lead the architecture and development of complex, high-scale ML systems while driving technical decisions and mentoring teams. Core stack includes Python, AWS SageMaker, Kubernetes, MLflow, Kubeflow, Docker, TensorFlow, and CI/CD pipelines for end-to-end MLOps workflows.
Voice AI Engineer
Builds and owns a production real-time voice AI platform, tuning ASR/LLM/TTS pipelines, WebRTC/SIP telephony, and orchestration frameworks like Pipecat or LiveKit Agents for client deployments end-to-end.
Applied Ai Engineer
Applied AI Engineer role focused on developing and deploying advanced AI solutions (LLMs, computer vision, GANs) end-to-end. Day-to-day work involves Python/TensorFlow model development, NLP, data analysis, and collaboration with product managers onsite in Los Angeles.