Logo for Weekday (YC W21)

Director of Engineering

Key Facts

Remote From: 
Full time
Mid-level (2-5 years)
English

Other Skills

  • โ€ข
    Collaboration
  • โ€ข
    Communication
  • โ€ข
    Problem Solving

Roles & Responsibilities

  • 7โ€“11 years of software engineering experience with strong exposure to SaaS platform development
  • Strong expertise in Python for backend systems, AI integrations, and data pipelines
  • Hands-on experience building LLM-powered applications, RAG architectures, and AI-driven retrieval systems
  • Experience with vector databases, embedding workflows, and modern LLM APIs; cloud infrastructure knowledge (AWS), Docker, Kubernetes, and CI/CD

Requirements:

  • Design, build, and optimize scalable backend services and platform infrastructure, including document ingestion pipelines, search and retrieval systems, APIs, and data models
  • Develop and maintain AI-powered features (RAG pipelines, LLM-driven analysis, entity extraction, summarization) and integrate vector databases, embeddings, and modern LLM APIs
  • Lead architecture decisions, drive system scalability and engineering best practices, mentor engineers, conduct code reviews, and participate in hiring and process improvements
  • Support cloud-native deployments, CI/CD, containerized environments, and infrastructure automation, ensuring reliability and compliance in regulated environments

Job description

This role is for one of the Weekday's clients

Salary range: Rs 3000000 - Rs 12000000 (ie INR 30-120 LPA)

Min Experience: 8 years

Location: Remote (India)

JobType: full-time

We are looking for a Senior Director of Engineering โ€“ Full Stack / Backend Engineering to help drive the development of an AI-powered regulatory intelligence platform focused on life sciences and healthcare compliance. This role is ideal for a highly technical engineering leader who thrives on solving complex backend and AI-driven challenges while contributing to scalable SaaS platform development.

You will play a critical role in building and evolving core platform capabilities, including AI-powered document analysis, intelligent retrieval systems, data pipelines, and cloud-native infrastructure. Working closely with leadership, product, and regulatory operations teams, you will help translate strategic vision into robust, production-grade software solutions that support high-impact compliance workflows.

The role combines hands-on engineering with growing technical leadership responsibilities, offering the opportunity to shape platform architecture, mentor engineers, and contribute directly to the evolution of advanced AI systems in a regulated industry environment.

Requirements

Key Responsibilities

  • Design, build, and optimize scalable backend services and platform infrastructure
  • Own critical platform components including document ingestion pipelines, search and retrieval systems, APIs, and data models
  • Develop and maintain AI-powered features such as RAG pipelines, LLM-driven analysis, entity extraction, summarization, and intelligent retrieval systems
  • Integrate and evaluate modern AI technologies, vector databases, embedding pipelines, and orchestration frameworks
  • Improve AI output quality, retrieval relevance, and system reliability in high-stakes regulatory environments
  • Contribute to architectural decisions, system scalability, and engineering best practices
  • Write clean, maintainable, and well-tested code while maintaining high code quality standards through reviews and technical guidance
  • Collaborate closely with product, design, and domain teams to refine technical requirements and solution approaches
  • Mentor and support engineers through technical leadership, code reviews, and knowledge sharing
  • Participate in hiring, technical evaluations, and engineering process improvements
  • Support cloud-native deployments, CI/CD pipelines, containerized environments, and infrastructure automation

What Makes You a Great Fit

  • 7โ€“11 years of software engineering experience with strong exposure to SaaS platform development
  • Strong expertise in Python for backend systems, AI integrations, and data pipelines
  • Hands-on experience building LLM-powered applications, RAG architectures, and AI-driven retrieval systems
  • Experience working with vector databases, embedding workflows, and modern LLM APIs
  • Strong understanding of cloud infrastructure, preferably AWS, along with Docker, Kubernetes, and CI/CD practices
  • Experience designing scalable REST or GraphQL APIs
  • Familiarity with React or modern frontend technologies is a plus
  • Strong problem-solving mindset with the ability to work in complex, evolving environments
  • Excellent communication and collaboration skills across technical and non-technical stakeholders
  • Ability to operate with ownership, initiative, and a long-term platform mindset
  • Exposure to healthcare, regulatory, or other highly regulated environments is highly valuable

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