Full Stack Engineer

What you'll do

Design and build

end-to-end product systems

, across frontend, backend, APIs, databases and infrastructure.

Solve

complex system architecture and system design problems

involving scale, reliability, latency and performance.

Build and ship

AI-native products and workflows

, not just basic LLM wrappers.

Architect systems involving

LLMs, AI agents, model APIs, orchestration, tool calling and asynchronous workflows

.

Design scalable APIs, services, data models, queues, caching and real-time systems.

Make critical technical decisions around

architecture, infrastructure and engineering trade-offs

.

Take ownership from

problem → architecture → implementation → deployment → production monitoring

.

Work closely with product and design to turn ambiguous ideas into robust technical systems.

Continuously improve system performance, reliability, security and developer velocity.

What we're looking for

Strong experience as a

Full Stack / Product / Platform Engineer

building production-grade products.

Deep understanding of

system design, distributed systems and software architecture

.

Proven experience solving

complex architecture problems

, not just implementing predefined specifications.

Hands-on experience building

AI-powered products in production

.

Strong backend fundamentals: APIs, databases, authentication, caching, queues, concurrency and asynchronous processing.

Strong frontend engineering skills with modern frameworks such as

React / Next.js / TypeScript

.

Experience with backend technologies such as

Python, Node.js, Go or similar

.

Experience with cloud infrastructure, containers, CI/CD and production observability.

Ability to think about systems in terms of

failure modes, bottlenecks, scalability and trade-offs

.

High ownership. You should be comfortable making technical decisions with incomplete information.

We’d especially value experience with:

LLM APIs and inference, agentic systems, RAG and retrieval systems, vector databases, structured outputs and tool calling, multimodal AI, evaluation and observability, prompt/model orchestration, streaming AI responses, and designing reliable systems around probabilistic AI outputs.

A background or working knowledge in

Electrical / Electronics Engineering is a strong plus

.

This is particularly valuable if you understand areas such as electronics, circuits, electrical systems, hardware-software interaction, embedded systems, IoT, sensors, communication protocols or hardware data.

The kind of engineer we want:

You should be someone who looks at a difficult product problem and naturally asks:

“What is the right system to build for this?”

Not just:

“What code do I need to write?”

We value engineers who can reason from first principles, challenge assumptions, simplify complicated systems and own important technical problems end-to-end.

Role:

Full Stack Engineer

Focus:

AI Products · System Architecture · System Design · Full Stack Engineering