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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing generative AI applications using Python, with a strong focus on building scalable microservices and APIs. Proficient in modern web technologies and cloud platforms, ensuring high performance and security in production environments.
Highest-signal resume keywords
Python DevelopmentGenerative AI ApplicationsMicroservices ArchitectureRESTful APIsCloud 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
Generative AIMicroservicesAPIsPythonFastAPIAsyncioPostgreSQLDockerKubernetesAI Developer Tooling
Soft Skills
Collaborative MindsetMentoringProactive Problem Solving
Tools & Technologies
AWSGCPAzurePineconeWeaviatePgvectorClaudeCursorGitHub Copilot
Industry Keywords
Enterprise ArchitectureIAMSSOSAMLOAuthOIDCRBACSecurity Best Practices
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformKubernetesMicroservicesPostgresPythonReactTypeScript
About the role
Key responsibilities & impact- Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks
- Build and optimize high-performance, low-latency APIs and microservices integrating advanced AI models and agentic workflows into the core platform
- Make system design decisions and own the architecture of core platform components from initial proposal through production deployment
- Implement and maintain responsive user interfaces using React and TypeScript
- Communicate changes, plans, and proposals to cross-functional teams
- Collaborate with product managers, data scientists, and DevOps engineers
- Build continuous deployment, logging, and monitoring systems with DevOps teams
- Ensure performance, security, and reliability across distributed workloads
- Report to an engineering director or senior engineering manager
Requirements
What you’ll need- 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments
- Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks
- Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes
- Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot
- Exposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems
- Collaborative mindset and ability to mentor other engineers
- Proactive approach to complex technical challenges and innovative improvements
- Full accountability for delivering high-quality, resilient, and scalable code from conception to production
- Ability to work in person in the office 3 days per week
- Legally authorized to work in the country where the job is located
Benefits
Comp & perks- Generous PTO, plus company holidays
- Comprehensive medical and dental insurance
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Competitive pension scheme and company contribution
- Wellness stipend for gym, massage/chiropractor, personal training, etc.
- Learning and development stipend
- Company-wide off-sites and team off-sites
- Competitive compensation and company stock options