Summary
✨ AI‑Generated
A technology company is looking for a highly experienced Senior Full-Stack AI Engineer to help build the core of an AI-powered SaaS platform. You will develop LLM-driven agent workflows with planning, tool use, approvals, guardrails, logging, and rollback; create robust integrations through APIs, OAuth, and webhooks; build data pipelines; and deliver frontend experiences. This is a fully remote role with weekday daytime working hours.
Highlights
Fully remote senior engineering role focused on building an AI-powered SaaS platform end to end. The work combines advanced LLM agent systems, resilient third-party integrations, data pipelines, and user-facing product development, offering broad technical ownership across the stack.
Description
We are looking for a highly experienced Senior Full-Stack AI Engineer to help build the core of an AI-powered SaaS platform.
This role spans the full product stack from third-party integrations and backend services to LLM-driven agent workflows and user-facing product experiences.
Location: Remote
Working Hours: 5:45 AM - 2:30 PM (Mon-Fri)
Responsibilities of the Candidate:
Build and maintain LLM-powered agent workflows for planning, execution, tool use, structured outputs, approvals, guardrails, logging, and rollback.Develop integrations with accounting, CRM, booking, advertising, search, and email platforms using OAuth, APIs, webhooks, and sync pipelines.Build resilient integration systems that handle rate limits, pagination, retries, and partial failures.Design data pipelines that transform third-party data into actionable business insights.Build and maintain structured business profiles and shared intelligence layers used across the platform.Develop frontend product experiences using TypeScript and React.Build backend APIs and services using Node.js or Python.Work with PostgreSQL, queues, webhooks, and background jobs.Develop AI-generated content systems with brand voice rules, constraints, and approval workflows.Collaborate closely with product and design to implement interactive prototypes accurately.Improve LLM performance through prompt design, structured outputs, evaluations, and cost/latency optimization.
Requirements:
Minimum 5+ years of experience building production web applications.Strong expertise in TypeScript and React.Strong backend development experience with Node.js or Python.Proven experience shipping LLM-powered features to production.Strong understanding of prompt engineering, context design, tool calling, structured outputs, evals, and AI reliability.Solid experience with PostgreSQL, data modeling, queues, webhooks, and background processing.Deep experience integrating third-party APIs, including OAuth flows, rate limits, pagination, and failure handling.Strong product judgment and ability to balance technical decisions with user experience and product integrity.Excellent written communication and documentation skills.
Preferred Qualifications:
Experience integrating platforms such as Xero, MYOB, HubSpot, Google, Meta, Tradify, ServiceM8, Timely, or Fresha.Experience with voice interfaces, speech-to-text, or real-time transcription.Knowledge of SEO tooling, CMS platforms, or programmatic page generation.Experience working with Google Ads or Meta Ads APIs.Early-stage or startup experience with end-to-end system ownership.
To Apply:
Please send your updated CV to job@talentsathi.com.
Qualified candidates will be contacted for the next stage of the recruitment process.
