FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing full-stack agentic AI applications, with a strong focus on user experience, workflow design, and engineering process optimization. Proficient in cloud deployment and various programming languages, ensuring compliance with engineering principles and customer requirements.
Highest-signal resume keywords
Agentic AI Application DevelopmentCloud Deployment (Docker, Azure, Databricks)Python ProgrammingUI/UX DesignWorkflow Design and Tool Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonObject-Oriented Programming (OOP)Data StructuresDatabasesNext.jsReactGit Version ControlLinux TerminalBash ScriptingAgent Orchestration
Soft Skills
Excellent Communication Skills
Tools & Technologies
CrewAILangGraphMicrosoft 365 CopilotModel Context Protocol (MCP)
Industry Keywords
EngineeringArtificial IntelligenceCloud ComputingSoftware DevelopmentInnovation Management
Tech Stack
Tools & technologiesAzureCloudDockerJavaScriptLinuxNext.jsPythonReact
About the role
Key responsibilities & impact- Design, develop, deploy, and maintain full-stack agentic AI applications
- Discuss user experience, underlying problems, and demands with internal customers and teams
- Design clean workflows for implementation
- Create measurable value for end users through intuitive, efficient, and reliable AI-powered solutions
- Develop agentic workflows, data integrations, and engineering tool connectivity through MCP servers
- Deliver intuitive UI/UX designs
- Analyze engineering processes and identify bottlenecks reducing efficiency, quality, or scalability
- Work with other R&D teams and internal customers
- Evaluate technologies and product designs for compliance with scientific and engineering principles, company standards, customer requirements, and specifications
- Support innovative components and modules from concept through design engineering, validation, prototyping, testing, and evaluation of production-capable processes and business cases
- Provide innovative ideas for products and processes and share new information with team members
- Provide engineering support to other company departments as directed
- Manage innovation projects by monitoring progress, coordinating activities, resolving technical issues, maintaining documentation systems, and preparing progress reports
Requirements
What you’ll need- Bachelor's or higher degree in Engineering, including Computer Science or Artificial Intelligence
- 2 years or more experience in SW / AI related industry
- Excellent spoken and written communication skills
- Hands-on experience developing agentic AI applications using CrewAI, LangGraph, Microsoft 365 Copilot, and Model Context Protocol (MCP)
- Experience with agent orchestration, tool integration, and workflow design
- Experience in cloud deployment, including Docker, Azure, and Databricks
- Proficiency in Python and object-oriented programming (OOP) principles
- Proficiency with Git version control, Linux terminal, and Bash scripting
- Experience with data structures and databases, including knowledge graphs
- Experience in frontend web development, including Next.js and React
- Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check
- Additional Engineering Domain Knowledge beneficial
Benefits
Comp & perks- Engaging and dynamic work environment
- Support and resources for employee success
- Wide range of development prospects
- Wellness programs and events
- Access to private park for employees & their families