Tech Lead

Company Overview

Auresta is a focused eye-care platform bringing together leading regional eye-care providers across India under a vision of clinical excellence and operational rigor. With an expected revenue of over ₹200 crore and an EBITDA of ₹60 crore by FY'27, Auresta is positioning itself as one of the largest eye-care networks in the country. The platform combines strong local brands and institutional capabilities in strategy, technology, governance, and performance management to create a scalable and high-quality eye-care network.

Job Summary

The Tech Implementer & Coordinator serves as a hands-on generalist responsible for bridging strategy and execution. This role involves owning the technical build, coordinating with external teams, and ensuring the timely delivery of the AI-driven marketing automation playbook.

Responsibilities

• Act as the primary technical liaison between SMART Vision stakeholders and the external engineering pod, translating business requirements into actionable technical tasks.
• Design and implement Python-based automation scripts and Generative AI pipelines for lead triage, content generation, and recovery workflows.
• Configure and maintain the headless Content Management System (CMS) and the AI-driven SEO engine for generating and publishing localized landing pages.
• Oversee on-page and programmatic SEO implementations, including keyword mapping, structured data, and meta optimization, to minimize reliance on paid advertising.
• Coordinate sprint planning, task transitions, and delivery checkpoints with the external team across all implementation phases.
• Manage webhook integrations between advertising platforms, CRM systems, and the AI lead desk to ensure clean and auditable data flow.
• Monitor and audit AI agent outputs for accuracy and compliance prior to going live.
• Maintain technical documentation and handover materials for SMART Vision's in-house team for sustainable platform operation post-engagement.

Qualifications

• 3–6 years of hands-on experience in a similar full-stack or AI engineering role.
• Strong communication skills to engage effectively in technical discussions and stakeholder meetings.
• Proficiency in the following core technical skills:
  • Generative AI and Large Language Models (LLMs)
  • Prompt engineering and LangChain/LangGraph
  • Agentic AI workflows
  • Python scripting and automation
  • REST APIs and webhooks
  • Semantic SEO and programmatic content generation
  • Familiarity with Headless CMS (e.g., Strapi or similar)
  • Basics of Next.js/React
  • Workflow orchestration using n8n
  • PostgreSQL and vector databases
  • Basic DevOps and cloud familiarity
  • Analytics and reporting capabilities

Preferred Skills

• Experience with vLLM model inference.
• Familiarity with ComfyUI video diffusion and Voice AI technologies (e.g., Pipecat, LiveKit).
• Knowledge of healthcare and Electronic Health Record (EHR) systems.
• Understanding of Marketing Mix Modelling (Robyn).

Experience

• A minimum of 3–6 years in a technical role, preferably related to full-stack development or AI engineering.

Environment

• The specific work setting, location, and type (remote, in-office, hybrid) are not specified.

Salary

• Salary details have not been provided.

Growth Opportunities

• Potential career advancement opportunities within the company have not been specified.

Benefits

• Offered benefits have not been detailed.