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- *About The Company**

nWe’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.n
- *The role**

nAs 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.n
- *Location**

n: Mumbai (In-office, 5 days/week)n
- *Type**

n: Full timen
- *Experience**

n: 3.5 + years (flexible; we value ownership and shipping ability over years)n
- *Reports to**

n: Founder/CEO (partners closely with PM)n
- *Traction**

n: Working with large enterprises and managing seven-figures per month in influencer spendn
- *What We’re Looking For**

nMust-havesn
- 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:

n○ REST APIs, webhooks, auth (JWT/OAuth basics), role-based permissionsn

○ production debugging (logs/metrics/traces), handling edge cases, writing tests

n

○ core data stores (e.g., Postgres) and common cloud primitives

n

- High ownership, speed, and strong product intuition




- Mumbai in-office availability (or immediate relocation)

n

Nice to have

n
- 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**

nBuild core product workflows (enterprise-grade)n
- 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

nBuild and ship LLM/agent capabilities (must-have)n
- 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

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Integrations + platform plumbing

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- 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

n

Engineering culture + velocity

n
- 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

n

Skills

n
- NodeJS (Node.js), Go Programming (Golang), React.js, Generative AI and Large Language Models (LLM) tuning

Apply on Kit Job: kitjob.in/job/44wry0

📌 Fullstack Engineer (Mumbai)
🏢 Discovr AI
📍 Mumbai