hirly

Weekday AI

Principle Engineer AI

India

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
25 Sept 2026

Derived automatically from the posting. Sign up to see how the role scores against your own resume.

the posting

  • 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

Original posting on Weekday AI's site ↗

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