Job Description
We are hiring a Full-Stack Engineer to build the core cloud platform that powers AI adoption across SGS. This is a hands-on engineering role where you will design and implement the foundational services, UIs, and tooling that allow AI engineers, software developers, and business teams to rapidly assemble solutions using reusable “Lego Bricks” (microservices, AI agents, data pipelines, and MLOps components).
You will work side-by-side with AI engineers, delivering microservices, internal tools, lightweight UIs, and developer-facing components that make AI delivery fast, compliant, and scalable.
We are at an early stage — this role is for someone who wants to move fast, learn fast, and build from scratch.
What You'll Build and Own
1. Cloud Platform Foundations
Build the first version of our internal developer platform using Go, lightweight HTML templates,and server-driven rendering.
Design and implement core microservices (identity, data access, orchestration, monitoring, usage metering, etc.).
Establish clean, composable service boundaries enabling AI teams to plug in new “bricks” easily.
2. Web & UI Layer for AI Products and Tools
Deliver pragmatic UIs using Go templates and pure HTML initially, then evolve toward a Go + Tailwind CSS + Templ + HTMX architecture.
- Build internal dashboards, admin tools, observability screens, and orchestration interfaces for AI agents and ML workflows.
3. Developer Experience (DX) & Internal APIs
Create APIs, CLIs, and utilities that enable AI engineers to deploy models, create agentic workflows, and integrate with shared components.
Implement standards for API ergonomics, microservice contracts, and versioning.
4. MLOps & AI Agent Enablement
Collaborate with AI engineers to support model deployment, evaluation tooling, vector DB access, and agent orchestration.
Provide the infrastructure primitives that allow the business teams to scale prototypes into production systems.
5. Building for Speed and EvolutionShip fast, iterate fast: deliver valuable slices of functionality while the platform is still taking shape the architectural blueprint for a scalable platform as the organization grows.
Qualifications
Required Technical Skills
6. Strong engineering foundations with microservices, concurrency applying design patterns, 12 factor app principles and having a tidy first mindset.
7. Solid background in REST APIs, event-driven services and distributed systems.
8. Practical knowledge of cloud environments (AWS, GCP, or Azure).
9. Experience with Docker, containerized development, and CI/CD pipelines.
10. Understanding of MLOps concepts.
Bonus
11. Familiarity / Some level of expertise with Go and/or Python.
12. Experience with HTML, CSS, and server-side rendering frameworks (Go templates, etc.).
13. Experience with microservice-first architectures.
14. Exposure to LLM-powered applications, agent frameworks, or vector databases.
15. Experience building internal developer tools or platforms.
16. Familiarity with Kubernetes or serverless frameworks.
17. Experience in early-stage, high-velocity environments.
Who You Are
18. A pragmatic builder: You love shipping functional products quickly and evolving them with feedback.
19. A full-stack problem solver comfortable moving across backend, frontend, and cloud.- A systems thinker who cares about architecture and platform foundations.
20. A collaborator who enjoys working with AI engineers, product managers, and business partners.
21. An owner who delivers reliable, scalable, maintainable systems.