You will be part of a company that is building an agentic, AI-native infrastructure for creator advertising. The company aims to automate the end-to-end campaign lifecycle with enterprise-grade workflows, reliability, and measurable outcomes. As a Full Stack Engineer, your responsibilities will include designing and building core systems across backend, product surfaces, integrations, and LLM-powered automation. You are expected to take high ownership, work quickly, and establish strong engineering foundations to support the company's scaling efforts. This is an in-office role located in Mumbai. **Key Responsibilities:**
Implement robust workflow/state systems such as approvals, retries, exceptions, and audit logs
Develop internal tooling and admin panels to streamline operations and minimize manual efforts
Create customer-facing dashboards and reporting experiences
Implement agentic workflows using LLMs and tools, including retrieval, structured actions, messaging sequences, and QA checks
Establish guardrails for policy checks, human-in-the-loop review points, safe fallbacks, and prompt/tool versioning
Set up evaluation and monitoring processes including offline test sets, automated checks, and online metrics
Build and maintain integrations via APIs and webhooks
Take ownership of instrumentation, event tracking, data quality checks, and reporting accuracy
Implement permissions, access controls, and reliability patterns suitable for enterprise usage
Ensure high-quality and frequent shipping through tests, code review, CI, and observability
Collaborate closely with the product team on discovery, prioritization, and customer feedback
Contribute to hiring and mentoring activities as the team expands
**Qualifications Required:**
Strong software engineering fundamentals with a proven track record of shipping production systems
Experience with LLM/AI and having shipped LLM-powered features to users
Ability to own end-to-end systems including backend, APIs, data, and some frontend development
Practical skills in at least one stack such as Node.js, TypeScript, or Go
Familiarity with REST APIs, webhooks, authentication methods like JWT/OAuth, and role-based permissions
Experience with production debugging, handling edge cases, writing tests, and working with core data stores like Postgres
High ownership, speed, and strong product intuition
Availability for in-office work in Mumbai or immediate relocation
**Additional Company Details:**
Traction: Working with large enterprises and managing seven-figures per month in influencer spend
This role will provide you with the opportunity to work in a fast-paced environment, contribute to innovative solutions, and have a significant impact on the company's growth and success. You will be part of a company that is building an agentic, AI-native infrastructure for creator advertising. The company aims to automate the end-to-end campaign lifecycle with enterprise-grade workflows, reliability, and measurable outcomes. As a Full Stack Engineer, your responsibilities will include designing and building core systems across backend, product surfaces, integrations, and LLM-powered automation. You are expected to take high ownership, work quickly, and establish strong engineering foundations to support the company's scaling efforts. This is an in-office role located in Mumbai. **Key Responsibilities:**
Implement robust workflow/state systems such as approvals, retries, exceptions, and audit logs
Develop internal tooling and admin panels to streamline operations and minimize manual efforts
Create customer-facing dashboards and reporting experiences
Implement agentic workflows using LLMs and tools, including retrieval, structured actions, messaging sequences, and QA checks
Establish guardrails for policy checks, human-in-the-loop review points, safe fallbacks, and prompt/tool versioning
Set up evaluation and monitoring processes including offline test sets, automated checks, and online metrics
Build and maintain integrations via APIs and webhooks
Take ownership of instrumentation, event tracking, data quality checks, and reporting accuracy
Implement permissions, access controls, and reliability patterns suitable for enterprise usage
Ensure high-quality and frequent shipping through tests, code review, CI, and observability
Collaborate closely with the product team on discovery, prioritization, and customer feedback
Contribute to hiring and mentoring activities as the team expands
**Qualifications Required:**
Strong software engineering fundamentals with a proven track record of shipping production systems
Experience with LLM/AI and having shipped LLM-powered features to users
Ability to own end-to-end systems including backend, APIs, data, and some frontend development
Practical skills in at least one stack such as Node.js, TypeScript, or Go
Familiarity with REST APIs, webhooks, authentication methods lik
