Python & React Engineer with AI (Remote, Latam)

Remote from: USA
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Programming
Employment type: Full Time,
Job posted: 10 Jun 2026
Apply before: 10 Jul 2026
Experience level: Senior
Views / Applies: 11 / 2

We create innovative software solutions that empower businesses to visualize and analyze their data effectively.

Computer Software
2003

AI Summary

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

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role demands senior-level expertise in Python, React, and AI/LLMs, plus fast delivery in a client-facing context, making it challenging but manageable for experienced engineers.

Salary Analysis

AI Insight No salary was specified in the listing. For a senior AI engineer in the US market, the typical range is $110k–$200k, with a median around $150k. Since this is a remote LatAm role, compensation may be adjusted, but the offer in USD is competitive for the region.

Key Skills

Python React AI LLMs APIs Data Pipelines Azure Agile Client-facing Fast-paced

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]

Possible Interview Questions

Describe your experience building and deploying AI-driven features in production. What challenges did you face?

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.

How do you ensure code quality and speed in a fast-paced environment?

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.

Can you walk me through a complex React component you built that handled real-time data?

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.

How do you approach working with LLMs for structured data extraction?

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.

Describe a time you had to work closely with a client to understand their requirements and deliver a solution. How did you manage expectations?

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 Kubikware™, a digital agency with 20+ years of experience designing and developing web and mobile platforms, as well as video games, AR/VR apps, and AI/ML. We are headquartered in Miami, FL with a strong South American team, and have clients and partners in the US market of all sizes and verticals. Among other accolades, we are a 5-time Inc. 5000 Fastest Growing Companies in America honoree.

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

Nice to have:

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

We offer:

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.

Apply now >