NodeJS (Node.js)
Go Programming (Golang)
React.jsAbout the company
We’re building an agentic, AI-native infrastructure for creator advertising, automating the end-to-end campaign lifecycle (brief → creator selection → outreach/follow-ups → approvals → delivery QA → reporting) with enterprise-grade workflows, reliability, and measurable outcomes.
The role
As a Full Stack Engineer, you will design and build core systems across backend, product surfaces, integrations, and LLM-powered automation. You’ll take high ownership, move quickly, and set strong engineering foundations as we scale. This is an in-office role in Mumbai.
Location: Mumbai (In-office, 5 days/week)
Type: Full-time
Experience: 5 + years (flexible; we value ownership and shipping ability over years)
Reports to: Founder/CEO (partners closely with PM)
Traction: Working with large enterprises and managing seven-figures per month in influencer spend
What we’re looking for
Must-haves
- Strong software engineering fundamentals with a track record of shipping production systems
- LLM/AI experience is required: you’ve shipped LLM-powered features to users (agents/tool-calling/RAG/evals/guardrails—at least some of these)
- Comfortable owning end-to-end systems (backend + APIs + data + enough frontend to deliver outcomes)
- Strong practical skills in at least one stack such as Node.js / TypeScript / Go
- Experience with:
○ REST APIs, webhooks, auth (JWT/OAuth basics), role-based permissions
○ production debugging (logs/metrics/traces), handling edge cases, writing tests
○ core data stores (e.g., Postgres) and common cloud primitives
- High ownership, speed, and strong product intuition
- Mumbai in-office availability (or immediate relocation)
Nice to have
- Experience with workflow-heavy products: marketplaces, fintech, logistics, AdTech, B2B SaaS
- SQL comfort and familiarity with analytics pipelines / event schemas
- Multi-tenant enterprise features: audit logs, data isolation, SSO (now or later)
What you’ll do
Build core product workflows (enterprise-grade)
- Implement robust workflow/state systems (approvals, retries, exceptions, audit logs)
- Build internal tooling/admin panels to scale operations and reduce manual effort
- Deliver customer-facing dashboards and reporting experiences
Build and ship LLM/agent capabilities (must-have)
- Implement agentic workflows using LLMs + tools (retrieval, structured actions, messaging sequences, QA checks)
- Build guardrails: policy checks, human-in-the-loop review points, safe fallbacks, and prompt/tool versioning
- Create evaluation & monitoring: offline test sets, automated checks, and online metrics to maintain output quality over time
Integrations + platform plumbing
- Build and maintain integrations via APIs/webhooks
- Own instrumentation: event tracking, data quality checks, and reporting accuracy
- Implement permissions, access controls, and reliability patterns appropriate for enterprise usage
Engineering culture + velocity
- Ship frequently with high quality (tests, code review, CI, observability)
- Collaborate closely with product on discovery, prioritization, and customer feedback
- Contribute to hiring and mentoring as the team grows
Shubham Vishwakarma
Full Stack Developer - Averlon
About Discovr AI
About
Discovr AI is an agentic, AI-native creator advertising platform that helps brands and agencies plan, execute, and measure influencer campaigns with speed, control, and repeatable performance. We automate the campaign lifecycle—from briefs and creator selection to approvals, QA, and reporting—so teams can scale creator programs without scaling headcount. Built for enterprise workflows, Discovr AI brings structured processes, visibility, and measurable outcomes to creator-led advertising
Tech stack
NodeJS (Node.js)Go Programming (Golang)
PythonCandid answers by the company
Discovr AI is an agentic, AI-native advertising platform that automates the entire influencer marketing lifecycle for brands and agencies. Based in Mumbai, it accelerates campaign creation from creator discovery and onboarding to tracking and reporting, allowing companies to scale influencer programs without increasing headcount.
Company social profiles
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon