Job Overview
Job TitleFull-Stack AI Engineer
Job TypeFull Time
Offered Salary$180,000
LocationHybrid
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Job Description
About The Role
We are seeking a highly skilled Full-Stack AI Engineer with strong experience in backend, frontend, cloud infrastructure, and AI integration. The ideal candidate will have hands-on expertise with modern web frameworks, scalable architectures, and machine learning technologies to support the development of intelligent, data-driven applications.
Responsibilities
Backend Development
- Design, develop, and maintain backend services using Python, Java, or Node.js.
- Build scalable APIs and microservices using frameworks such as Django, Spring Boot, or Express.js.
- Implement and optimize databases including PostgreSQL, MongoDB, and Redis for caching and performance.
- Ensure system reliability, performance tuning, and efficient data processing.
Frontend & Mobile Development
- Develop dynamic, responsive user interfaces with React, Angular, or Vue.js.
- Build and maintain mobile applications using React Native or Flutter.
- Collaborate with UI/UX teams to create intuitive and high-quality user experiences.
AI & Machine Learning Integration
- Integrate AI and NLP capabilities using TensorFlow, PyTorch, or Hugging Face Transformers.
- Work with external AI APIs such as OpenAI or Google Cloud AI to implement pre-trained models and intelligent features.
- Collaborate with data scientists to deploy, scale, and optimize ML models in production.
Cloud & Infrastructure
- Deploy and manage applications on AWS, Google Cloud, or Azure.
- Utilize Docker and Kubernetes for containerization and orchestration.
- Set up and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
Security & Compliance
- Implement secure authentication and authorization using OAuth 2.0 and JWT.
- Ensure compliance with GDPR, CCPA, and industry security standards.
- Apply encryption best practices and maintain secure data workflows.
Additional Responsibilities
- Integrate analytics tools such as Google Analytics or Mixpanel to track user behavior and performance metrics.
- Support CRM integrations using Salesforce APIs or HubSpot.
- Participate in code reviews, architectural planning, and technology roadmapping.
Qualifications
To be successful as a Full-Stack AI Engineer, you will need:
- Proven experience in full-stack development with both backend and frontend technologies.
- Strong understanding of scalable web architecture and cloud-native development.
- Hands-on experience with AI/ML libraries and API integrations.
- Knowledge of DevOps best practices, CI/CD pipelines, and container orchestration.
- Excellent problem-solving skills and ability to work collaboratively in a cross-functional team.
Nice to Have
- Experience with microservices architecture.
- Exposure to big data tools or real-time analytics.
- Familiarity with CRM system development or workflow automation.
Key skills/competency
- Full-Stack Development
- AI/ML Integration
- Cloud Infrastructure
- Backend Development
- Frontend Development
- DevOps
- API Design
- Data Engineering
- Scalable Architecture
- Security Best Practices
How to Get Hired at Somewhere
- Research Somewhere's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume strategically: Highlight full-stack, AI/ML, and cloud expertise using keywords from the Full-Stack AI Engineer job description.
- Showcase relevant projects: Prepare a portfolio demonstrating backend, frontend, AI integration, and cloud deployment skills.
- Master technical interview concepts: Practice data structures, algorithms, system design, and AI/ML principles for Somewhere's technical assessments.
- Demonstrate collaborative problem-solving: Be ready to discuss team projects and how you contribute to cross-functional success.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What specific backend technologies are used for the Full-Stack AI Engineer role at Somewhere?
02How does Somewhere approach AI/ML integration in its applications for this role?
03What cloud platforms and DevOps tools does Somewhere utilize for this Full-Stack AI Engineer position?
04What kind of frontend and mobile development work can I expect as a Full-Stack AI Engineer at Somewhere?
05What are the key security and compliance considerations for a Full-Stack AI Engineer at Somewhere?
06What makes a candidate 'Big Tech Experience Preferred' for Somewhere's Full-Stack AI Engineer role?
07Can I work remotely from any country in Latin America for this Full-Stack AI Engineer position at Somewhere?
08What is Somewhere's approach to architectural planning and technology roadmapping for the Full-Stack AI Engineer?
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