
Software Co
4 weeks ago
Lead the Worlds Most Advanced AI-Powered Full-Stack Application Designer & Developer Platform.
At Software Co, our mission is to redefine the way software is built.
Over the past decade, weve delivered hundreds of enterprise-grade projects, gaining unparalleled experience, insights, and technical depth.
Now, were channelling that expertise into building the worlds most advanced, production-grade, AI-powered full-stack application designer and developer platform capable of transforming natural-language ideas into fully functional, scalable web and mobile applications, ready for deployment in minutes.
Our platform is not a no-code toy. It is AI as the world's best designer, engineer, architect, and DevOps specialist, all in one a tool for professionals, enterprises, and ambitious startups who demand speed, quality, and control.
If youve ever wanted to lead the engineering vision of a category-defining technology company from day one, this is it.
The Opportunity :
As our Lead AI Engineering Lead & Manager, you will :
- Own the technical architecture of our AI code-generation engine, orchestration pipelines, and multi-model LLM integrations.
- Build and lead a high-performing AI/ML engineering team from the ground up.
- Translate our product vision into scalable, secure, and performant systems.
- Direct the evolution of our prompt-to-production workflow, ensuring developers and non-developers alike get flawless, production-ready results.
- Be the technical face of the company alongside the founder, influencing investors, partners, and the developer Youll Lead & Build :
AI & Orchestration Layer :
- Multi-model LLM integration (OpenAI GPT-4o, Anthropic Claude, Google Gemini).
- Prompt parsing, domain-specific language (DSL) translation, and hallucination mitigation.
- Retrieval-Augmented Generation (RAG) for context persistence.
- AI-generated testing, code review, and documentation.
Full-Stack Code Generation :
- Frontend : React / Next.js / Tailwind, React Native for mobile.
- Backend : Node.js (NestJS) and/or Python (FastAPI) with GraphQL & REST APIs.
- Automated database schema generation (PostgreSQL/Prisma, Supabase) with MongoDB adapters.
- Authentication flows, role-based permissions, and secure API integrations.
Developer Experience :
- In-browser IDE (Monaco/VS Code engine).
- Live preview, CI/CD automation, one-click deployment (Vercel, AWS, GCP, Docker/K8s).
- Plugin marketplace & integration APIs.
Platform & Infrastructure :
- Microservices & container orchestration.
- High-availability, globally distributed infrastructure.
- Security, compliance, and audit logging for enterprise Are You :
- An exceptional AI/ML engineering leader with experience shipping complex, production-grade systems.
- Equally at home writing code, designing architecture, and mentoring teams.
- Deeply familiar with LLM architectures, prompt engineering, and AI-assisted developer tooling.
- Excited by the 0-1 journey ambiguity energises you.
- Capable of recruiting top-tier engineers and inspiring them to build something truly transformational.
- Comfortable interfacing with founders, product managers, and enterprise clients.
- Obsessed with developer experience and the quality of generated You Bring :
- 7+ years in software engineering with at least 3 years in an AI/ML leadership role.
- Strong background in backend architecture and frontend frameworks.
- Proven experience with LLM APIs, LangChain/LlamaIndex, RAG pipelines.
- Expertise in cloud infrastructure (AWS/GCP/Azure, container orchestration).
- Experience leading cross-functional engineering teams.
- A track record of shipping high-impact, scalable software We Offer :
- Competitive salary with flexibility for global talent.
- Direct collaboration with the founder, leadership team & extensive development team.
- An environment where your technical vision shapes the company.
- The chance to lead one of the most ambitious AI engineering projects in the :
- Headquarters : Sydney, Australia.
- Open to work from Sydney, Melbourne or from our ODC in India, remote hires for the right talent, with optional relocation support.
- Occasional travel for in-person product sprints and team offsites.
(ref:hirist.tech)
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