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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting, developing, and deploying scalable AI applications, with a strong foundation in machine learning principles and proficiency in Python. Capable of collaborating across diverse teams to deliver impactful AI solutions while championing responsible AI practices.
Highest-signal resume keywords
5+ Years Experience In AI SystemsProficiency In PythonExperience With AI/ML FrameworksStrong Foundation In Machine Learning PrinciplesExperience With Cloud Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningNatural Language ProcessingMLOpsScalable Software DevelopmentBias DetectionExplainabilitySafety AlignmentClean Code PracticesAI Application Development
Soft Skills
Exceptional Problem-Solving SkillsCreative ThinkingCollaborationInnovationProject Ownership
Tools & Technologies
PyTorchTensorFlowJAXAWSGCPAzure
Industry Keywords
Generative AIAI Lifecycle ManagementEnterprise AIAI IntegrationTechnical Requirements Definition
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Architect, develop, and deploy high-performance, scalable AI applications into production environments
- Ensure robust integrations with WRITER's end-to-end platform
- Drive development of intelligent agents and AI-powered features
- Translate complex research into practical, impactful customer solutions
- Collaborate with research scientists, data scientists, and product managers to define technical requirements
- Deliver features addressing critical business needs
- Contribute to research and evaluation of emerging AI technologies, frameworks, and tools
- Maintain WRITER's leadership in the enterprise generative AI space
- Champion responsible AI practices, including bias detection, explainability, and safety alignment
- Report to the head of AI engineering
Requirements
What you’ll need- 5+ years of professional experience building and deploying machine learning or AI systems in a production environment
- Proficiency in Python
- Experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX
- Strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models
- Experience with cloud platforms such as AWS, GCP, or Azure
- Experience with MLOps tools for managing the AI lifecycle
- Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems
- Exceptional problem-solving skills
- Passion for tackling complex technical challenges with creative AI solutions
- Ability to collaborate seamlessly across diverse teams
- Willingness to challenge the status quo and innovate
- Commitment to owning projects with impact and excellence
- Ability to work in person in the office 3 days per week
- Legally authorized to work in the country in which the job is located
Benefits
Comp & perks- Generous PTO, plus company holidays
- Medical, dental, and vision coverage for you and your family
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Flexible spending account and dependent FSA options
- Health savings account for eligible plans with company contribution
- Annual work-life stipends
- Wellness stipend for gym, massage/chiropractor, personal training, etc.
- Learning and development stipend
- Company-wide off-sites and team off-sites
- Competitive compensation
- Company stock options
- 401k
