FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Forward Deployed Engineer III – Applied AI
V2 AIForward Deployed Engineer building production-ready AI applications for V2 AI, an AI-native consultancy. Leading React, Node.js, LLM, and AWS delivery across scalable cloud architectures.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full stack development with React and Node.js, integrating AI/ML solutions, and deploying scalable cloud architectures on AWS. Proven ability to lead projects, mentor engineers, and implement LLMOps workflows for AI-driven applications.
Highest-signal resume keywords
Full Stack DevelopmentAI/ML IntegrationAWS Cloud ArchitectureLLMOps WorkflowsMentoring Engineers
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ReactNode.jsAI/ML SolutionsLLMsEmbeddingsAgent FrameworksAWS LambdaAWS SageMakerAWS BedrockECS/EKS
Soft Skills
CollaborationLeadershipMentoring
Tools & Technologies
AWS ServicesCloud ArchitecturesReusable Code LibrariesEngineering Standards
Industry Keywords
Unstructured DataTextImageVideoAudio
Tech Stack
Tools & technologiesAWSCloudJavaScriptNode.jsReact
About the role
Key responsibilities & impact- Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS.
- Integrate AI/ML solutions, including LLMs, embeddings, and agent frameworks, into production applications.
- Collaborate with cross-functional teams (product, data, AI, and architecture) to define project scope, design patterns, and technical strategy.
- Ensure scalable, secure, and maintainable cloud architectures, leveraging AWS services (Lambda, SageMaker, Bedrock, ECS/EKS).
- Mentor and guide engineers on best practices, code quality, and architectural decisions.
- Implement LLMOps workflows: prompt management, model pipelines, versioning, monitoring, and optimization.
- Work with unstructured data (text, image, video, audio) to enable AI-driven features.
- Contribute to reusable code libraries, frameworks, and engineering standards.
- Stay up-to-date with AI and full stack technologies and share knowledge internally and externally.
Requirements
What you’ll need- Full stack development experience with React and Node.js.
- Experience integrating AI/ML solutions, including LLMs, embeddings, and agent frameworks.
- Experience deploying scalable cloud architectures on AWS.
- Knowledge of AWS Lambda, SageMaker, Bedrock, and ECS/EKS.
- Experience implementing LLMOps workflows, including prompt management, model pipelines, versioning, monitoring, and optimization.
- Experience working with unstructured data including text, image, video, and audio.
- Ability to lead full stack AI projects and make technical and architectural decisions.
- Ability to mentor engineers and contribute to engineering standards and reusable code libraries.
Benefits
Comp & perks- Competitive salary package
- Pick your equipment
- Gifted Day Off ("VersionUp Day")
- Generous parental leave
- Well-funded startup environment
- Annual training budget
- Mentorship program
- Clear promotion pathways
- Flexible working arrangements
- Meet-ups & socials
- 97% rating on corporate social responsibility