Principle Engineer AI

Posted 4 Days Ago
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2 Locations
In-Office
Expert/Leader
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead architecture, development, and delivery of production-grade AI and full-stack applications. Build Python backend services, APIs, AI orchestration layers, and React or Angular user interfaces. Integrate LLMs, RAG pipelines, vector databases, agents, and enterprise data sources. Establish security, reliability, observability, and performance standards while leading design decisions, mentoring engineers, supporting hiring, and promoting responsible AI practices.
Summary Generated by Built In

This role is for one of Weekday’s clients
Location: Bengaluru, Pune
JobType: full-time

Principal Engineer – AI & Full-Stack

Experience: 10+ years (with 5+ years in Python production systems) 

Notice Period: 1 month or less

Role Summary Lead the architecture, development, and delivery of production-grade AI-powered applications. Provide technical leadership across the SDLC, mentor engineering teams, and drive enterprise-scale AI adoption.


Requirements

Key Responsibilities

  • Define and evolve end-to-end architectures for AI-enabled applications.
  • Build scalable backend services, APIs, and AI orchestration layers in Python.
  • Develop user-facing applications with React/Angular, TypeScript, HTML, CSS.
  • Integrate LLMs, RAG pipelines, vector databases, agents, and enterprise data sources.
  • Establish engineering standards for security, reliability, observability, and performance.
  • Lead technical design reviews and make build-vs-buy decisions.
  • Partner with product, data science, cybersecurity, and cloud stakeholders.
  • Mentor senior engineers and contribute to hiring and capability building.
  • Promote responsible AI practices (privacy, explainability, governance).

Required Qualifications

  • 10+ years of software engineering; 5+ years in Python production systems.
  • Strong expertise in FastAPI, Django, Flask, REST APIs, event-driven architectures.
  • Full-stack experience with React/Angular.
  • Hands-on with LLM apps, prompt engineering, RAG, embeddings, vector DBs, AI agents.
  • Cloud-native expertise: AWS, Azure, GCP, Docker, Kubernetes, CI/CD.
  • Strong database skills (SQL + NoSQL).
  • Proven ability to lead architecture decisions and influence teams.

Preferred

  • Enterprise-scale AI deployment experience.
  • Knowledge of MLOps, LLMOps, AI safety controls.
  • Familiarity with Azure OpenAI, Bedrock, Vertex AI.
  • Consulting/regulated industry experience.
  • Relevant certifications in cloud/architecture/AI.

Must-have skills

Python, ReactJS, AngularJS

Good-to-have skills

Generative AI, LLm, rag

Skills Required

  • 10+ years of software engineering experience
  • 5+ years of experience building Python production systems
  • Strong expertise in FastAPI, Django, Flask, REST APIs, and event-driven architectures
  • Full-stack experience with React or Angular
  • Hands-on experience with LLM applications, prompt engineering, RAG, embeddings, vector databases, and AI agents
  • Cloud-native expertise with AWS, Azure, GCP, Docker, Kubernetes, and CI/CD
  • Strong SQL and NoSQL database skills
  • Ability to lead architecture decisions and influence teams
  • Enterprise-scale AI deployment experience
  • Knowledge of MLOps, LLMOps, and AI safety controls
  • Familiarity with Azure OpenAI, Amazon Bedrock, or Vertex AI
  • Consulting or regulated industry experience
  • Relevant cloud, architecture, or AI certifications
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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