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Senior Full Stack AI Engineer, Contract
Smart WorkingSenior Full Stack AI Engineer developing AI-driven solutions and improving Python applications at Smart Working. Joining a small team focused on high-impact engineering in a remote environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong capabilities in Python Development, System Design, and API Integration, with a focus on delivering scalable and maintainable solutions. Proven ability to prototype AI-enabled applications and improve user experiences through effective UX flows and usability principles.
Highest-signal resume keywords
Python DevelopmentSystem Design And ArchitectureAPI IntegrationAI-Assisted Development ToolsUX Flows And Usability Principles
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSystem DesignAPI IntegrationReactJavaScriptHTMLSDLCData ModellingETL ProcessesSecure Development Practices
Soft Skills
Stakeholder CommunicationIndependenceProblem-Solving
Tools & Technologies
AI-Driven ServicesCodexClaude
Industry Keywords
Engineering Best PracticesUser JourneysData PipelinesPerformance ImprovementBacklog Management
Tech Stack
Tools & technologiesETLJavaScriptPythonReactSDLC
About the role
Key responsibilities & impact- Translate ambiguous stakeholder requirements into structured solutions, user flows, and deliverables
- Design system architecture, making decisions around scalability, maintainability, and security
- Build and deliver end-to-end features across frontend and backend with full ownership
- Rapidly prototype AI-enabled solutions and evolve them into production-ready systems
- Improve and scale an existing Python-based application, addressing backlog, performance, and UX gaps
- Define and implement UX flows and usability improvements (not visual design, but user journeys)
- Integrate with APIs, including AI-driven services, and design robust data flows
- Apply secure development practices and ensure systems are reliable and maintainable
- Balance speed of delivery with long-term engineering quality and structure
- Contribute to and elevate engineering practices (architecture, SDLC, testing) through hands-on work
- Collaborate with stakeholders and team members while operating with a high degree of independence
Requirements
What you’ll need- Strong experience with Python (5+ years) in production environments
- - Proven experience in system design and architecture (5+ years), including making trade-offs
- - Hands-on experience with AI-assisted development tools (e.g., Codex, Claude, or similar) in real workflows
- - Strong experience integrating APIs, including AI or data-driven services (3+ years)
- - Solid frontend experience with React and modern JavaScript/HTML (3+ years or equivalent frameworks)
- - Experience owning features or products end-to-end, from concept to delivery (3+ years)
- - Strong understanding of SDLC, engineering best practices, and code quality standards
- - Experience working in ambiguous environments and shaping requirements independently
- - Proven ability to prototype quickly and deliver at pace (2+ years)
- - Strong stakeholder communication skills and ability to translate business needs into technical solutions (5+ years)
- - Good understanding of UX flows and usability principles (2+ years)
- - Experience working with databases and data modelling (3+ years)
- - Understanding of secure development practices (3+ years)
- - Experience handling data pipelines or ETL processes (2+ years)
- - High ownership mindset with the ability to operate independently in a low-structure environment
Benefits
Comp & perks- Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
- - No Weekend Work: Real work-life balance, not just words
- - Day 1 Benefits: Laptop and full medical insurance provided
- - Support That Matters: Mentorship, community, and forums where ideas are shared
- - True Belonging: A long-term career where your contributions are valued
- - 5-Day AI Training: Hands-on AI Academy onboarding to get you building with AI from day one