AI Full-Stack Engineer

AI Full-Stack Engineer (Backend Heavy)
Location: Mumbai | Work from Office
Experience: 3-5 Years
Employment: Full-time
Preferred Background: IITs / BITS Pilani or equivalent strong engineering background
IMPORTANT
Please complete the screening form for us to understand about you in detail: https://forms.gle/Faf2S13wTSGGwxJw7
About Discovr AI
Discovr AI is building an AI-native infrastructure layer for creator advertising, enabling brands and agencies to automate creator discovery, campaign execution, content intelligence, brand safety, measurement, and reporting.
We are building production-grade AI systems and agentic workflows that operate across large volumes of creator, campaign, content, audience, and brand data.
We’re looking for an AI Full-Stack Engineer who can own systems end-to-end, with deep strength in backend engineering, system architecture, and AI infrastructure.
This is a highly hands-on, startup engineering role.
What You’ll Build
Build and scale backend systems using Golang and/or Python.
Design APIs, services, data pipelines, and distributed backend architectures.
Build production-grade AI infrastructure and LLM-powered applications.
Develop agentic workflows, RAG pipelines, retrieval systems, tool integrations, and AI automation.
Integrate LLMs with databases, APIs, internal tools, and business workflows.
Build scalable data systems using MongoDB and related databases.
Develop product-facing interfaces using TypeScript and modern frontend frameworks.
Own features end-to-end from architecture and backend to frontend and production deployment.
Improve system performance, reliability, latency, scalability, and AI inference costs.
Build evaluation, monitoring, observability, and guardrail systems for AI applications.
Solve complex engineering and architecture problems as the product scales rapidly.
What We’re Looking For
3–5 years of strong software/product engineering experience.
Strong backend engineering expertise in Golang and/or Python.
Hands-on experience building AI/LLM infrastructure in a B2B SaaS or AI product company.
Strong experience with MongoDB, databases, APIs, and backend systems.
Working proficiency with TypeScript and modern frontend development.
Experience with LLM APIs, AI agents, RAG, embeddings, vector databases, or orchestration frameworks.
Strong understanding of system design, data structures, algorithms, and software architecture.
Ability to write clean, scalable, production-quality code.
Experience taking products or AI prototypes from 0→1 and into production.
Strong debugging and problem-solving ability.
Comfortable working with high ownership and ambiguity in a fast-moving startup.
Strongly Preferred
Engineering background from IITs / BITS Pilani.
Experience at an AI-first B2B SaaS startup.
Strong GitHub, open-source, competitive programming, or personal project track record.
Experience with LangGraph, LangChain or similar agent frameworks.
Experience with OpenAI, Gemini, Claude or other foundation models.
Experience with vector databases, retrieval infrastructure and AI evaluation.
Exposure to cloud infrastructure, Docker, Kubernetes, queues, caching, and distributed systems.
Strong DSA / competitive programming fundamentals.
The Kind of Engineer We Want
You are not a frontend engineer who occasionally touches APIs, and you are not someone who has only experimented with LLM wrappers.
You should be comfortable going from:
Product problem → architecture → backend → AI layer → database → frontend → deployment → iteration
We’re looking for builders who enjoy solving hard engineering problems, shipping quickly, and taking complete ownership of what they build.
Why Discovr AI?
Build AI infrastructure and agentic systems from the ground up.
Work on real production AI problems, not proof-of-concept demos.
High ownership across product, architecture, and engineering.
Work closely with Product, Engineering, and Founders.
Solve complex problems across AI, advertising, creators, and large-scale data.
Build in a fast-moving 0→1 / 1→10 startup environment.

Work arrangement
No