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Applied AI Engineer
Fenwick & West. Design, develop, and deploy AI-powered applications, agents, and workflow automations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying AI-powered applications, integrating AI capabilities with business systems, and leading technical implementations from concept to production. Strong ability to communicate technical concepts to diverse audiences and improve operational efficiency through innovative solutions.
Highest-signal resume keywords
AI-Powered Application DevelopmentPython ProgrammingAPI IntegrationCloud Platform ExperienceCollaboration with Business Stakeholders
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringApplication DeploymentLarge Language ModelsAgent ArchitecturesWorkflow AutomationPerformance EvaluationData Source IntegrationModern Programming LanguagesOrchestration FrameworksSoftware Delivery Practices
Soft Skills
Problem-SolvingCommunicationCollaborationCuriosityEnthusiasm for AI
Industry Keywords
AI TechnologiesBusiness ApplicationsTechnical AdvisorKnowledge ManagementOperational Efficiency
Tech Stack
Tools & technologiesCloudJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Design, develop, and deploy AI-powered applications, agents, and workflow automations
- Partner with attorneys and business teams to understand needs, define requirements, and translate opportunities into working solutions
- Rapidly prototype concepts, validate value, and evolve successful solutions into production-ready systems
- Identify opportunities to improve productivity, knowledge access, client service, and operational efficiency through AI
- Lead technical implementation of AI projects from concept through production deployment
- Integrate AI capabilities with internal systems, knowledge repositories, and business applications
- Develop reliable, secure, maintainable, and scalable solutions
- Monitor solution performance and continuously improve quality, accuracy, and user experience
- Evaluate emerging AI models, frameworks, tools, and platforms for practical application
- Contribute reusable patterns, frameworks, and components
- Help establish engineering best practices for agent development, evaluation, deployment, and operations
- Collaborate with Innovation, IT, Knowledge Management, and Business Operations teams
- Communicate technical concepts to non-technical audiences
- Support solution adoption through documentation, demonstrations, and stakeholder engagement
- Serve as a trusted technical advisor on AI implementation opportunities
Requirements
What you’ll need- 5+ years of software engineering experience building and deploying business applications
- Experience developing applications using modern programming languages such as Python, JavaScript, TypeScript, or similar technologies
- Experience integrating APIs, data sources, and enterprise systems
- Strong problem-solving skills and ability to translate business requirements into technical solutions
- Excellent communication and collaboration skills
- Curiosity and enthusiasm for AI technologies and their practical application
- Experience building AI-powered applications using large language models and modern AI platforms
- Familiarity with agent architectures, retrieval systems, orchestration frameworks, or workflow automation platforms
- Experience with cloud platforms and modern software delivery practices
- Experience evaluating and improving application performance, reliability, and quality
- Experience working directly with business stakeholders throughout the product development lifecycle
Benefits
Comp & perks- Healthcare
- Life Insurance
- Health Savings Accounts
- Flexible Spending Accounts
- Wellbeing benefits
- Discretionary bonus for eligible employees based on performance