We’re looking for a Full Stack Engineer who can build beyond features.

You’ll work on complex, AI-native products where the challenge isn’t just writing frontend or backend code. It’s figuring out how the entire system should work, scale, communicate, and remain reliable as complexity grows.

We’re looking for someone who is comfortable going from a blank architecture diagram to a production system.

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 up-to-date 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

📌 Full Stack Engineer (Mumbai)
🏢 Yantraa
📍 Mumbai