Full Stack Engineer

Nomni; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Nomni seeks an experienced Full-Stack Engineer to own product development end-to-end, blending frontend leadership with backend, AI, and integration work. You will drive from concept through deployment, balancing speed with quality in a fast-moving team.

The role emphasizes owning multiple projects, delivering across web, mobile, APIs, and observability while embracing AI-assisted workflows and practical trade-offs.

Qualifications

• Experience shipping real products.
• Frontend engineering with usability focus.
• Node.js, APIs, databases, integrations.
• Shipping mobile applications.
• Understanding modern product lifecycle.
• Practical judgment for tech decisions.
• Ability to work with incomplete requirements.
• Strong ownership and adaptability.

Responsibilities

• Build polished product experiences across web and mobile.
• Develop supporting services and APIs using Node.js.
• Work with Supabase, databases, REST APIs, and integrations.
• Take features from concept to testing, deployment, and production.
• Decide architecture, tooling, and technical trade-offs.
• Bring structure to evolving products and incomplete requirements.
• Use AI-assisted workflows to improve delivery speed.
• Build and improve AI-enabled product capabilities.
• Assist AI evaluation, observability, tracing, debugging.
• Maintain products after launch.
• Manage multiple projects with end-to-end ownership.

Skills

Frontend engineering

Node.js

APIs

Mobile apps

Full-stack

Product ownership

AI experimentation

Observability

Braintrust

Langfuse

Tools

Braintrust

Langfuse

Job description

We’re looking for an experienced Full-Stack Engineer who enjoys building products end to end and turning early ideas into practical, high-quality user experiences. The successful candidate will join a small, fast-moving team working across multiple product initiatives.

The role is frontend-led but requires enough technical breadth to work comfortably across mobile applications, backend services, integrations, databases, and supporting infrastructure. The engineer will take ownership from early concept and prototyping through to testing, deployment, and production support.

What you’ll do

• Build polished product experiences across web and mobile.
• Develop supporting services and APIs using Node.js.
• Work with Supabase, databases, REST APIs, and third-party integrations.
• Take features from early concepts through implementation, testing, deployment, and production.
• Make practical decisions regarding architecture, tooling, and technical trade-offs.
• Bring structure and clarity to rapidly evolving products and incomplete requirements.
• Use modern AI-assisted development workflows to improve delivery speed and productivity.
• Build, integrate, and improve AI-enabled product capabilities.
• Support AI evaluation, experimentation, observability, tracing, and debugging.
• Maintain and improve products following launch.
• Manage multiple projects and priorities while retaining end-to-end ownership.

Qualifications

• Strong track record of building and successfully shipping real products.
• Excellent frontend engineering capabilities with a strong eye for usability and product quality.
• Experience working with Node.js, APIs, databases, backend services, and integrations.
• Proven experience building and releasing mobile applications.
• Strong understanding of how modern products are designed, developed, tested, deployed, and operated.
• Good engineering judgment and a practical approach to technical decision-making.
• Comfortable working with incomplete requirements and identifying an effective path forward.
• Strong ownership, curiosity, adaptability, and willingness to work wherever the product requires support.

Good to have

• Experience developing LLM-powered applications and AI-enabled product capabilities.
• Knowledge of AI evaluation, experimentation, prompt evaluation, and model assessment.
• Experience with AI observability, tracing, and debugging.
• Familiarity with Braintrust, Langfuse, or similar AI evaluation and observability platforms.
• Experience working within small, fast-moving product teams.
• Relevant domain experience across web, mobile, backend, and AI-assisted product development.