🔢 Crunching numbers...
Only W2
Senior GenAI Engineer
Location: Hybrid / Remote
Contract: 12+ Months Contract on W2
REQUIRED QUALIFICATIONS
• 10+ years of software engineering experience.
• Strong proficiency in Python and JavaScript/TypeScript.
• Experience developing microservices, APIs, and distributed applications.
• Hands-on experience with AWS cloud services and cloud-native application development.
• Recent experience building enterprise GenAI solutions, including AI agents, chatbots, or RAG applications.
• Experience with AWS Bedrock or other enterprise LLM platforms.
To see how well you match this job, please log in or create an account.
Once logged in, be sure to complete your profile to get the most accurate match score.
Remote
•
Today
Role: AI Engineer Generative AI & Agentic AI Duration: 12+ Months Contract Location: 100% Remote Mandatory Skills & Experience 1. Python & Software Engineering 2. Generative AI & LLM Application Development 3. RAG, Embeddings & Search 4. AI Frameworks & Agentic Workflows 5. Cloud & Deployment (AWS, Azure, Google Cloud Platform) 6. APIs, Data & Application Integration 7. Quality, Security & Observability
Easy Apply
Contract
Depends on Experience
Remote
•
Today
Project description We are seeking a hands-on GenAI Engineer to join a team developing production-grade, AI-powered solutions for a major US insurance provider. Designed and developed an enterprise-grade Generative AI platform using Python, FastAPI, and FastMCP to automate recruitment workflows and provide intelligent candidate insights. Built scalable, production-ready APIs that integrated with OpenAI GPT and Anthropic Claude models for candidate screening, resume analysis, job matching, and a
Full-time
Remote
•
2d ago
Seeking a Senior AI Engineer with 68 years of software engineering experience and strong hands-on Node.js/TypeScript skills. Must have strong AWS experience, especially Amazon Bedrock, AWS CDK, Lambda, API Gateway, S3, and related cloud services. Must have at least 1 year of hands-on Generative AI experience, including RAG, AI-powered search, chatbots, or enterprise knowledge assistants. Build secure, scalable backend APIs and AI services with infrastructure as code, databases, cloud deployment,
Easy Apply
Third Party, Contract
Depends on Experience
Remote
•
29d ago
Title: as AWS Bedrock / GenAI Engineer Location: Remote Description Data & Cloud Engineering experience with strong AI exposure, including data transformation tooling and the design and deployment of production-grade AI solutions. Experience integrating AI solutions with enterprise operations, encompassing multi-agent platforms, workflow automation, retrieval systems, and complex enterprise integrations.Experience refers to hands-on experience using Amazon Bedrock to build, deploy, and manage
Easy Apply
Third Party, Contract
Depends on Experience
