Senior Backend Engineer (Python / AI) at Kake
Confirmed open
Senior Backend Engineer (Python / AI) opportunity with Kake. See the official posting for responsibilities and application details.
- Location
- Remote
- Advertised region
- Worldwide
- Work arrangement
- remote
- Technologies
- Python, React, AWS, Azure, GCP
Create a free application profile — Keep your skills and projects in a reusable profile. Private by default; you choose when to share. Apply for this job directly with the employer.
Role overview
We are seeking a Senior Backend Engineer to join a team building innovative technology solutions with a strong focus on AI-powered products and scalable software development. This role is ideal for an experienced backend engineer with deep Python expertise, experience developing production-grade applications, and familiarity with modern AI tools and workflows. The ideal candidate will be comfortable working across backend systems, contributing to AI-driven features, and collaborating closely with technical leadership in a fast-paced environment. Some experience with frontend technologies such as React and DevOps practices is required to support end-to-end product development.
Responsibilities
- Design, develop, and maintain scalable backend services and APIs using Python.
- Build and integrate AI-powered features, applications, and workflows into production systems.
- Work with modern AI development tools to improve productivity and accelerate software delivery.
- Collaborate closely with engineering leadership and cross-functional teams to define solutions and implement new features.
- Contribute to system architecture, technical decisions, and best practices for scalable software development.
- Support cloud infrastructure, deployments, and DevOps processes to ensure reliable production environments.
- Participate in code reviews, troubleshooting, and continuous improvement initiatives.
- Contribute to frontend development using React when needed.
- Senior-level experience in backend software development with Python .
- Strong experience building and maintaining production-grade applications and APIs.
- Experience developing AI-powered products, integrations, or features.
- Familiarity with LLMs, AI APIs, automation workflows, or AI development frameworks.
- Experience with React or modern frontend technologies.
- Understanding of DevOps practices, cloud environments, and deployment processes.
- Highly proficient with AI-assisted development tools (such as Claude and similar AI tooling).
- Strong problem-solving skills with the ability to work independently and take ownership of projects.
Qualifications
- Familiarity with LLMs, AI APIs, automation workflows, or AI development frameworks.
- Understanding of DevOps practices, cloud environments, and deployment processes.
- Highly proficient with AI-assisted development tools (such as Claude and similar AI tooling).
- Strong problem-solving skills with the ability to work independently and take ownership of projects.
- Excellent written and verbal communication skills in English.
- Ability to work independently in a remote, fast-paced environment.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Contract length: Expected 6+ month engagement with potential for extension.
- Candidates should be comfortable and excited about working closely with the CTO and engineering team, including daily collaboration and occasional impromptu team huddles during working hours.
- The ideal candidate is proactive, adaptable, and eager to leverage AI technologies to build impactful products.
Technology in this role
- Python: This role is ideal for an experienced backend engineer with deep Python expertise, experience developing production-grade applications, and familiarity with modern AI tools and .
- React: Some experience with frontend technologies such as React and DevOps practices is required to support end-to-end product .
- AWS: Familiarity with cloud platforms such as AWS, GCP, or .
- Azure: Familiarity with cloud platforms such as AWS, GCP, or .
- GCP: Familiarity with cloud platforms such as AWS, GCP, or .
Role-specific candidate guide
Preparation notes based on the employer’s stated responsibilities and qualifications.
Understanding the scope. This Senior Backend Engineer (Python / AI) position at Kake is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “We are seeking a Senior Backend Engineer to join a team building innovative technology solutions with a strong focus on AI-powered products and scalable software development. This role is ideal for an experienced…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.
What the responsibilities signal. The posting specifically names “Design, develop, and maintain scalable backend services and APIs using Python.”; “Build and integrate AI-powered features, applications, and workflows into production systems.”; “Work with modern AI development tools to improve productivity and accelerate software delivery.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a.
About Kake
Kake describes itself as a remote-first community of experienced software engineers that helps client teams add individual engineers or full engineering groups. Its model combines technical vetting and human selection with AI-supported processes; Kake engineers work as dedicated members of client teams rather than as a separate outsourced delivery queue.
The company recruits across frontend, backend, mobile, quality engineering, data and DevOps. Its public hiring pages emphasize end-to-end ownership, collaboration with product and design, and engineering judgment. The exact client, product, team structure and employment terms can vary by opening, so candidates should verify those specifics in the individual listing.
Employer websiteHow to apply
Review the original posting and apply through the employer’s careers page.
View source and applySource checked: 2026-10-17