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.