Principle Engineer AI

Weekday AI (YC W21); Pune District; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Weekday AI (YC W21) is seeking a Principal Engineer – AI & Full-Stack to lead architecture, development, and delivery of production-grade AI-powered applications. You will mentor teams, drive enterprise-scale AI adoption, and shape SDLC standards across the org.

The role requires 10+ years in software, 5+ years in Python production systems, and hands-on work with FastAPI, Django, Flask, React/Angular, and cloud-native tech.

Qualifications

• 10+ years in software engineering with 5+ years in Python production systems.
• Experience with FastAPI, Django, Flask, REST APIs and event-driven architectures.
• Strong cloud-native expertise and container orchestration (AWS/Azure/GCP, Docker, Kubernetes).

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).

Skills

Python production systems

Full-stack development

Architecture leadership

Mentoring

Tools

FastAPI

Django

Flask

React

Angular

REST APIs

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

SQL

NoSQL

LLMs

RAG

Vector DBs

Job description

Job Description:

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.

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