About this role.
Kubikware is seeking a Senior Python, React & AI Engineer for a remote, fast-paced, short-term engagement (6 weeks with potential extension). You will build and deliver a production-ready, AI-driven solution. Candidates need 6+ years of Python and React experience, strong API and data pipeline skills, and familiarity with LLMs. This role is client-facing and requires excellent communication in an Agile/Scrum environment. The position is fully remote for Latin America-based candidates with US timezone overlap.
Role DNA
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Job Complexity
4/5Pace & Pressure
5/5Autonomy Level
4/5Communication Load
5/5Salary analysis
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Core skills
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Cover letter sample
Dear Hiring Manager,
I am writing to express my strong interest in the Senior Python, React & AI Engineer position at Kubikware. With over 6 years of experience in full-stack development and a focus on AI-driven solutions, I am confident in my ability to deliver production-ready code in fast-paced environments. My proficiency in Python and React, combined with hands-on experience building APIs and data pipelines, aligns perfectly with the requirements.
I have worked extensively with LLMs and AI-assisted development tools, and I am comfortable with client-facing roles and Agile methodologies. I am excited about the opportunity to contribute to a cutting-edge AI project and am available for the 6-week engagement with potential extension.
Thank you for considering my application. I look forward to discussing how I can add value to your team.
Sincerely,
[Your Name]
Sample interview questions
In my previous role, I built an AI-powered document classifier using a fine-tuned LLM. The main challenge was latency and accuracy trade-offs; we optimized by implementing a caching layer and using prompt engineering. We deployed on Azure with CI/CD, achieving <500ms response time.
I prioritize automated testing, code reviews, and continuous integration. I use TDD for critical paths and maintain a clean architecture to reduce technical debt. Regular communication with the team helps align priorities and avoid rework.
I developed a real-time dashboard using React with WebSockets. The component managed live updates from multiple APIs, displayed charts using D3.js, and included state management with Redux. Key was optimizing re-renders with memoization and virtualization for large datasets.
I start with prompt engineering and few-shot examples. For validation, I use an LLM-as-judge pattern to check consistency. I also implement fallback rules for edge cases. Monitoring output quality is crucial, so I log predictions for continuous improvement.
In a previous engagement, the client wanted an AI chatbot with strict accuracy requirements. I organized weekly demos and backlog grooming sessions. By breaking down the project into sprints and setting clear acceptance criteria, we delivered incrementally and adjusted based on feedback, building trust.
We are looking to expand our amazing roster with a Senior Python, React & AI Engineer, located in Latin America. You will join a fast-paced engagement focused on building and delivering a production-ready, AI-driven solution, with potential for long-term collaboration based on performance.
We are looking for:
- 6+ years of experience in software engineering (backend or full-stack roles)
- Strong proficiency in Python (core requirement)
- Solid experience with React
- Hands-on experience building APIs and data pipelines
- Experience working with LLMs or AI-driven workflows
- Proven experience using AI-assisted development tools (e.g., Claude Code, Codex, or similar)
- Ability to build and ship production-ready code quickly in fast-paced environments
- Strong communication skills and ability to work in client-facing roles
- Experience working in Agile/Scrum environments
- Experience with Azure (App Services, Blob Storage, etc.)
- Background in document processing or structured data extraction
- Familiarity with LLM validation patterns (e.g., LLM-as-judge)
- Experience working on early-stage or fast-moving projects
- Fully remote position
- Short-term engagement (6 weeks) with strong potential for long-term extension
- Full-time
- Collaboration with US-based teams (Central Time overlap required)
- Compensation in US Dollars
If you are as excited to learn more as we are to work with you, please submit your resume and let’s be in touch!
Please, no agencies or C2C.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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