Lead Full Stack Ai, Python Developer
DVT Johannesburg, Gauteng, South Africa
Software Development · 501-1,000 employees
About the role
You will lead the design and delivery of modern Python-based AI solutions while acting as a trusted technical advisor to clients. Additionally, you will mentor engineering teams and contribute to the strategic growth of the company's Python and AI competency.
What they look for
Requirements
Candidates must have over 8 years of software development experience with deep expertise in Python, Django, and modern AI frameworks. Strong consulting skills, technical leadership experience, and proficiency in cloud-native architectures are essential for this role.
Benefits
Full description
DVT is one of the top software development and testing companies on the continent. With our hybrid options, our vision is to be South Africa's favourite custom software solutions & services company, with a global footprint.
You will have the opportunity to work alongside some of the most established developers in the country with the latest technologies. DVT is committed to continuously training our staff and we are very proud of our culture of learning, from internal speaking and training to sponsoring a variety of technical events from DevConf to GDG.
Lead Full Stack Ai, Python Developer
Drive AI-enabled solutions, shape technical strategy, and lead clients through innovation
At DVT, we're looking for a Lead Full Stack Python Developer who combines deep technical expertise with a strong consulting mindset.
This role is about much more than writing code. You'll be a trusted advisor to clients, a technical leader within delivery teams, and a key contributor to the growth of DVT's Python competency. You'll help organisations solve complex business challenges using modern Python platforms, cloud-native architectures, and emerging AI technologies.
We're looking for someone who is passionate about Python engineering, experienced in delivering production-ready solutions, and excited by the possibilities of AI, Generative AI, and intelligent systems.
What You'll Do
- Lead the design and delivery of modern Python-based solutions
- Partner with clients to understand business challenges and translate them into technical solutions
- Provide technical leadership across project teams
- Mentor and coach developers, helping them grow their careers and technical capabilities
- Build scalable backend platforms, APIs, integrations, and data-driven applications
- Design and implement AI-enabled solutions using modern LLM frameworks and architectures
- Guide architecture decisions, best practices, and engineering standards
- Support pre-sales, technical workshops, and strategic client engagements
- Contribute to the growth of DVT's Python and AI communities
Core Technical Requirements
Backend Engineering (Essential)
- 8+ years of software development experience
- Strong expertise in Python development
- Extensive experience with Django and Django REST Framework
- Experience building scalable APIs and distributed systems
- Strong understanding of software architecture and design patterns
- Experience with relational databases such as PostgreSQL, SQL Server, or MySQL
- Experience building secure, maintainable, and scalable enterprise applications
- Strong testing practices using PyTest, Unit Testing, and Integration Testing
AI & Intelligent Systems
We are looking for someone who has begun applying AI in real-world environments rather than simply experimenting with prompts.
Experience with:
- Generative AI applications
- Retrieval-Augmented Generation (RAG)
- AI Guardrails and Responsible AI practices
- Vector databases and semantic search
- OpenAI, Azure OpenAI, Anthropic, or similar platforms
- LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks
- Prompt engineering and evaluation strategies
- AI solution architecture and governance
Frontend Development
We are not looking for a frontend specialist, but successful candidates should be comfortable working across the full stack.
Experience with some of the following:
- React
- Angular
- Vue.js
- TypeScript
- Modern JavaScript frameworks
- Frontend API integration and state management
Cloud, Data & DevOps
Experience with some of the following:
- Azure, AWS, or Google Cloud
- Containerisation using Docker
- Kubernetes
- CI/CD pipelines
- Infrastructure as Code
- Microservices and event-driven architectures
- Git and modern development workflows
- Monitoring and observability platforms
Consulting & Leadership Experience
This is what will differentiate great candidates from good candidates.
We're looking for someone who:
- Is comfortable engaging directly with clients
- Can facilitate technical workshops and architecture discussions
- Communicates complex technical concepts to both business and technical audiences
- Demonstrates strong stakeholder management skills
- Has experience leading development teams
- Enjoys mentoring and growing other engineers
- Brings a problem-solving and advisory mindset to engagements
- Can operate confidently in a consulting environment
What Success Looks Like
- Becoming a trusted technical advisor to our clients
- Leading high-performing engineering teams
- Shaping the future of AI-enabled delivery within DVT
- Grow and strengthen DVT's Python competency
- Contributing to thought leadership across Python, AI, and software engineering
- Delivering innovative solutions that create measurable business value
Why DVT?
At DVT, you'll work alongside some of the brightest minds in software engineering, data, cloud, and AI. You'll have the opportunity to influence technical direction, help organisations innovate, and play a leading role in the evolution of our growing Python and AI practice.
If you're passionate about Python, excited about AI, and thrive in a client-facing consulting environment, we'd love to hear from you.
Core keywords: Python, Django, Django REST Framework, AI, RAG, Guardrails, Azure OpenAI, LLMs, Consulting, Architecture, Technical Leadership, Cloud, Full Stack, Mentoring.
This will attract a far stronger DVT-consultant profile than the original advert because it positions Python + Django + AI + Client Advisory + Leadership as the primary requirements rather than a specific tech stack configuration.
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