At a Glance
- Tasks: Lead the design and deployment of AI applications using React, Node.js, and AWS.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with strong mentorship and career advancement opportunities.
- Why this job: Make a real impact by integrating cutting-edge AI solutions into production applications.
- Qualifications: Experience in full stack development and AI/ML integration is essential.
The predicted salary is between 81000 - 99000 $ per year.
- 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, Sage Maker, 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
- 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, Sage Maker, 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.
- Core Competencies
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 Development
- AI/ML Integration
- AWS Cloud Architecture
- LLMOps Workflows
- Mentoring Engineers
- ATS Optimization Keywords Hard Skills
- React
- Node. js
- AI/ML Solutions
- LLMs
- Embeddings
- Agent Frameworks
- AWS Lambda
- AWS Sage Maker
- AWS Bedrock
- ECS/EKS
- Soft Skills
- Collaboration
- Leadership
- Mentoring
- Industry Keywords
- Unstructured Data
- Text
- Image
- Video
- Audio
- Tools & Technologies
- AWS Services
- Cloud Architectures
- Reusable Code Libraries
- Engineering Standards
Forward Deployed Engineer III – Applied AI employer: Jobtailor
As a Network Engineer with us, you'll thrive in a dynamic work environment that prioritises innovation and collaboration. We offer competitive benefits, a strong focus on employee development, and opportunities to work with cutting-edge technologies while supporting Small and Medium Business clients. Our inclusive culture fosters growth and encourages proactive problem-solving, making it an ideal place for those seeking meaningful and rewarding employment.
