Full Stack Engineer Backend-Heavy

Uplers Solutions Private Limited.; Bengaluru; On-site; INR 2,750,000 - 3,200,000; Full time

Benefits offered by this job

ESOPs

Office-based role Bengaluru

Job summary

Uplers Solutions Private Limited is seeking a backend-heavy Full Stack Engineer for a Desible AI project in Bengaluru. You will own end-to-end backend services and the AI layer, with frontend largely AI-generated, while collaborating with the Head of Engineering to drive architectural decisions.

Role requires hands-on Node.js/TypeScript, LLM integration experience, and 1–1.5 years in system design ownership. Expect a strong SaaS/PLAT-form services background and a strict on-site work setup.

Qualifications

• Hands-on production experience with Node.js and TypeScript.
• Hands-on LLM / AI integration experience (OpenAI, Anthropic, or similar APIs).
• System design and architecture ownership — minimum 1–1.5 years.
• DevOps / infra ownership in a production environment.

Responsibilities

• Build, own, and scale Node.js/TypeScript backend services in production.
• Design and implement LLM-integrated features — tool calling, RAG pipelines, agentic workflows.
• Own async/event-driven system design and architecture decisions.
• Handle DevOps and infrastructure responsibilities — no separate infra team.
• Work directly with the Head of Engineering; contribute to technical decision-making from day one.
• Maintain production-grade reliability across services used by enterprise BFSI clients.

Skills

Node.js TypeScript

LLM integration

System design ownership

Education

B.Tech or equivalent CS degree

Job description

Job Description

Experience: 4.00 + years

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office ()

Placement Type: Full time Permanent Position

*Note: This is a requirement for one of Uplers' client - Desible.ai

Must have skills required

Node.js, TypeScript, LLM integration

About Desible AI

Desible AI is an early-stage voice AI company building enterprise-grade autonomous agents for customer engagement across calls, SMS, and WhatsApp — with a strong focus on BFSI, fintech, insurance, and education verticals.

Role Overview

We are looking for a backend-heavy Full Stack Engineer who will own services end-to-end — from LLM-enabled backend systems to infrastructure — in a fast-moving, no-layers startup environment. Frontend is largely AI-generated; your primary ownership is the backend and the AI layer powering it.

Responsibilities

• Build, own, and scale Node.js/TypeScript backend services in production
• Design and implement LLM-integrated features — tool calling, RAG pipelines, agentic workflows
• Own async/event-driven system design and architecture decisions
• Handle DevOps and infrastructure responsibilities — no separate infra team
• Work directly with the Head of Engineering; contribute to technical decision-making from day one
• Maintain production-grade reliability across services used by enterprise BFSI clients

Must-Have Requirements

• Hands-on production experience with Node.js and TypeScript
• Hands-on LLM / AI integration experience (OpenAI, Anthropic, or similar APIs; prompt engineering, structured outputs)
• System design and architecture ownership — minimum 1–1.5 years
• DevOps / infra ownership in a production environment
• Background from a SaaS or platform-services product company that has raised $10M+
• B.Tech or equivalent CS degree (MCA not accepted)
• Currently based in Bengaluru or willing to relocate immediately

Good to Have

• Experience at a conversational AI or voice AI company (e.g. Yellow.ai, Gupshup, Haptik)
• BFSI or fintech product background
• RAG, agentic AI, or tool-calling architecture experience
• AWS cloud infrastructure experience
• Working knowledge of React / Next.js
• Python — comfortable or able to ramp quickly
• Security/compliance exposure (VAPT, SOC 2, DPDP Act)

Compensation & Logistics

• Fixed CTC: 25 LPA + 10% variable + ESOPs
• Location: Bengaluru — strictly Work From Office, 5 days/week
• Notice period: Max 30 days
• Experience: 3.5 – 6.5 years