Talantix.io
KAVIA AI•10.03.26
AI SCORE 8.5

Software Engineer – AI-Native Product Platform (Remote)

$20K–$25K/year
RemoteAI/Big Data
Python•React•Next.js•Docker•Kubernetes•Terraform•AWS•MongoDB

About the Role

We are looking for a Software Engineer – AI-Native Product Platform (Remote) to join KAVIA AI, an innovative enterprise software company. In this role, you will be instrumental in building and evolving our AI-native platform, which is already being utilized by real teams on large-scale codebases. This is a unique opportunity to work on a production AI platform, contributing to the software development lifecycle from requirements to deployment.

What You’ll Do

  • Implement backend services and APIs that power KAVIA’s AI-native workflows.
  • Contribute to agent-based orchestration systems that plan and execute complex tasks.
  • Work with knowledge-graph-driven representations of code, workflows, and metadata.
  • Extend, refactor, and harden systems already running in production.
  • Write clean, well-tested, production-quality code.
  • Participate in design discussions and code reviews.
  • Debug issues across backend services, AI workflows, and system integrations.
  • Improve performance, reliability, and observability of core services.

Requirements

  • ~3+ years of professional software engineering experience.
  • Strong backend engineering fundamentals, especially with Python.
  • Experience building APIs and backend services used in production.
  • Familiarity with React or Next.js-based frontend systems.
  • Experience deploying and operating services in a cloud environment.
  • Comfort working in a fast-moving environment with real users and real constraints.

Nice to Have

  • Experience with Docker, Kubernetes, Terraform, and CI/CD pipelines.
  • Experience with MongoDB and AWS-based infrastructure.
  • Experience using AI tools as part of your own development workflow.
  • Startup experience or ownership of systems beyond just feature delivery.

What We Offer

  • Work on a real, production AI platform — not prototypes or experiments.
  • Learn how AI-native systems are designed, built, and operated at scale.
  • Be close to architecture, product decisions, and long-term technical direction.
  • Solve hard problems at the intersection of AI, systems engineering, and enterprise software.
  • Build infrastructure and workflows that real engineering teams depend on every day.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work on a cutting-edge AI-native platform, providing significant growth potential and the chance to solve complex engineering challenges.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python and experienced with frameworks like Flask or Django, enabling the development of scalable AI applications while maintaining code quality and efficiency.

→

Demonstrates strong self-discipline and time management skills necessary for remote work, effectively managing tasks across different time zones and ensuring timely project delivery.

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Possesses a growth mindset and a proactive approach to learning new technologies such as Docker, Kubernetes, and Terraform, regularly seeking out solutions to complex problems in AI development.

Learning Resources

→Python for Everybody Specializationcourse
→Docker for Beginnersarticle
→AWS Documentationguide

Career Path

Software Engineer – AI-Native Product Platform(Now)→Senior Software Engineer – AI Solutions(2-4 years)→Lead Software Architect – AI Platforms(5-7 years)

Market Overview

Market Size 2024
$30B
Annual Growth
8.2%
AI Adoption
60%
Investment
+45%
Labour Demand
+25%
Avg Salary
$120K

Skills & Requirements

Required
PythonReactNext.js
Growing in Demand
Machine LearningData EngineeringCloud Native Development
Declining
jQueryAngularJS 1.x

Domain Trends

Increased Demand for AI Integration
With 60% of companies adopting AI technologies, the need for software engineers skilled in AI-native development is surging.
Shift to Cloud-Native Architectures
Over 50% of new applications are being built on cloud-native architectures, increasing the demand for skills in Docker, Kubernetes, and Terraform.
Rise of Serverless Computing
Serverless architecture is projected to grow by 30% in the next two years, emphasizing the need for proficiency in AWS and related technologies.

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