Job Specification Envizien is a bespoke software development and innovation studio committed to building future-proof digital solutions for visionary organizations. We combine world-class engineering, human-centered design, and AI-accelerated development tools to deliver scalable, secure, and elegant products that stand the test of time.
As a boutique development house, we partner closely with our clients, which include global talent development companies, education organizations, and purpose-driven enterprises, to architect, design, and build custom technology that supports their long-term growth. We take pride in deeply understanding each client’s mission, culture, and goals so we can create digital experiences and systems uniquely tailored to their needs.
Our global, high-performing team brings together expertise across product strategy, UX design, full-stack engineering, AI-integration, cloud architecture, and quality assurance. This allows us to build software that isn’t just functional, but meaningful, intuitive, durable, and adaptable to the ever-changing landscape of technology.
Envizien is grounded in craftsmanship, curiosity, and excellence. Whether developing enterprise platforms, mobile applications, internal systems, or AI-powered tools, we ensure every solution is thoughtfully engineered, culturally aligned, and built to evolve. Our mission is simple:
Create technology that empowers people, elevates organizations, and shapes a better future… one product at a time.
Role Summary
Join a mission-driven engineering team building AI systems that help people reach their potential. As a Python Engineer (AI Systems), you'll design the critical integrations, data pipelines, and I/O systems that power our human development platform - connecting cutting-edge AI APIs with disciplined engineering practices that ensure reliability at scale.
You'll solve real integration challenges: building robust API connections, optimizing data flows, and creating systems that handle the rapid evolution of the AI ecosystem. You'll work with third-party AI services and build reliable infrastructure that makes intelligent applications work for real-world users.
We're looking for someone excited about AI's potential but grounded in engineering fundamentals - someone who practices TDD, values clean code and understands that exceptional systems serve human flourishing. You'll join a collaborative team that believes in shipping code daily, continuous improvement, and growing both technically and personally.
Key Responsibilities:
System Integration & I/O Engineering
Build robust integrations with third-party AI APIs and services, implementing proper error handling, retry logic, and circuit breakers.
Design and optimize data pipelines for processing, transforming, and routing information between systems.
Develop efficient I/O patterns for handling large datasets, API responses, and real-time data streams.
Collaborative Python Engineering
Write clean, testable, and maintainable Python code following established team conventions and architectural patterns.
Practice test-driven development (TDD) and participate actively in peer code reviews.
Implement observable systems with proper logging, monitoring, and performance instrumentation.
Team Development & Communication
Participate in design discussions, clearly articulating technical concepts and trade-offs.
Work effectively within Scrum ceremonies including sprint planning, daily standups, and retrospectives.
Follow team consensus on technical decisions while contributing constructive input to architectural discussions.
AI Ecosystem Integration
Integrate modern AI services and APIs into existing systems with focus on reliability and performance.
Build abstraction layers that allow the team to adapt quickly as AI tools and services evolve.
Collaborate with the architect to ensure integrations align with overall system design.
Continuous Learning & Improvement
Stay current with developments in AI tools, APIs, and integration patterns.
Contribute to team knowledge sharing and documentation of integration best practices.
Actively seek feedback and continuously improve code quality and system performance.
Daily Impact & Continuous Delivery
We believe in shipping code daily and making progress visible through disciplined engineering practices. Our CI/CD pipelines and collaborative culture mean that business value flows continuously rather than in artificial weekly or monthly chunks.
What Success Looks Like:
Daily commits that move the system forward - whether it's a small refactor, test improvement, or feature increment
Code that ships to production regularly through our automated pipelines
Continuous contribution to team velocity through code reviews, pair programming, and knowledge sharing
Incremental improvements that compound over time - marginal gains in performance, code quality, and system reliability
Transparent progress where teammates and stakeholders can see daily advancement toward goals
Your Daily Commitment: Do your best work every day. Ship code that matters. Learn something new. Help a teammate. Make the system a little better than you found it.
Qualifications
A Note on Growth Potential: If you don't have all the skills listed below but what you read excites you and you would like a chance to grow into a role like this, we encourage you to apply. We look at a person's character first - the right mindset, values, and hunger to learn often matter more than a perfect skill match.
What We're Really Looking For
Production Experience That Matters:
You've shipped Python code that real users depend on - the more users, the better
You've been responsible for fixing something when it broke in production (bonus points if you were the one who broke it initially)
You've either solved scaling/performance issues OR prevented a system rewrite through thoughtful refactoring
You understand the difference between code that works on your laptop and code that works for thousands of users
Engineering Mindset We Value:
You practice TDD because you've learned (possibly the hard way) why untested code becomes technical debt
You write clear, readable code because you've had to debug someone else's (or your own) cryptic logic at 2am
You believe in proper error handling because you've seen what happens when edge cases aren't handled
You care about monitoring and observability because you've tried to troubleshoot a black box system
Collaboration & Growth:
You can explain technical concepts clearly to teammates who speak different languages or have different backgrounds
You're comfortable having your code reviewed and reviewing others' work constructively
You're genuinely excited about AI's potential but grounded enough to build reliable systems around it
You see learning as part of the job, not something you do in your spare time
Technical Foundations:
Solid Python fundamentals (we care more about clean, efficient code than exotic framework knowledge)
Understanding of APIs, databases, and data flow - the plumbing that makes applications work
Experience with Git, testing frameworks, and collaborative development workflows
Bonus: Any exposure to AI/ML APIs, data processing, or integration patterns
Red Flags We Screen Out:
"Hackathon heroes" who build impressive demos but struggle with maintainable code
Framework collectors who know every tool but haven't mastered the fundamentals
Lone wolves who prefer coding in isolation over collaborative development
Core Values (PHHSX)
P – Passionate H – Humble H – Hungry S – Smart (People Smart) X – X-Factor
P – Passionate: Driven by a deep commitment to our mission and human-centered growth.
H – Humble: Open to feedback and focused on outcomes over ego.
H – Hungry: Proactively seeks growth and continuous improvement.
S – Smart (People-Smart): Emotionally intelligent and relationally aware.
X – X-Factor: Executes excellence and takes ownership, no excuses. Should you wish to apply, Kindly send your CV to: elangt@envizien.com
Sourced from external listing
Afrikye (pty) ltd
Sourced from PNet