Buisness Analyst And Data

Weekday AI (YC W21); Bengaluru; On-site; INR 2,000,000 - 2,500,000; Full time

Job summary

Weekday AI (YC W21) is seeking an experienced AI Engineering Architect to lead the architecture, development, and delivery of production-grade AI-powered applications. The role combines software architecture, hands-on Python engineering, full-stack development, Generative AI, cloud-native technologies, and technical leadership.

The ideal candidate will have strong experience building scalable production systems, applying AI technologies to enterprise applications, and providing technical

Qualifications

• 10+ years of software engineering experience.
• 5+ years building production systems with Python.
• Strong hands-on experience with FastAPI, Django, Flask, REST APIs, and event-driven architectures.
• Full-stack development experience with React/Angular, TypeScript, HTML, and CSS.
• Strong practical experience building LLM-powered applications, prompt engineering, RAG, embeddings, vector databases, and AI agents.
• Strong cloud-native expertise across AWS, Azure, or GCP, along with Docker, Kubernetes, and CI/CD.
• Solid experience with SQL and NoSQL databases and enterprise data integrations.
• Proven ability to lead architecture decisions, conduct technical design reviews, and influence engineering teams.
• Familiarity with LLMOps, AI safety controls, governance, and responsible AI practices.

Responsibilities

• Define and evolve scalable end-to-end architectures for AI-powered and enterprise applications.
• Lead the design and development of production-grade backend services, APIs, and AI orchestration layers using Python.
• Develop and guide full-stack application development using React/Angular, TypeScript, HTML, and CSS.
• Design and integrate LLM applications, RAG pipelines, embeddings, vector databases, AI agents, and enterprise data sources.
• Establish engineering standards for security, reliability, scalability, observability, performance, and maintainability.
• Lead technical design reviews, architecture discussions, technology evaluations, and build-vs-buy decisions.
• Promote responsible AI practices covering privacy, explainability, governance, security, and AI controls.
• Mentor senior engineers, provide technical guidance, and contribute to hiring and engineering capability development.

Skills

Python

FastAPI

Django

REST APIs

Event-driven

Full-stack React/Angular

TypeScript

HTML/CSS

LLM applications

Cloud-native

Docker

Kubernetes

CI/CD

SQL

NoSQL

AI governance

MLOps

Tools

React

Angular

TypeScript

HTML

CSS

Docker

Kubernetes

CI/CD

Job description

Job Description:

This role is for one of the Weekdays clients

Salary range: Rs 2000000 - Rs 2500000 (ie INR 20-25 LPA)

Experience: 10+ yrs

Location: Pune, Bengaluru

Job Type: Full-time

We are looking for an experiencedAI Engineering Architectto lead the architecture, development, and delivery of production-grade AI-powered applications. The role combinessoftware architecture, hands-on Python engineering, full-stack development, Generative AI, cloud-native technologies, and technical leadership.

Theideal candidate willhave strong experience building scalable production systems and applying modern AI technologies to enterprise applications. You will provide technical direction across the software development lifecycle, drive architecture decisions, mentor engineering teams, and help establish scalable approaches for enterprise AI adoption.

Key Responsibilities

• Define and evolve scalableend-to-end architecturesfor AI-powered and enterprise applications.
• Lead the design and development of production-grade backend services, APIs, and AI orchestration layers usingPython.
• Develop and guide full-stack application development usingReact/Angular, TypeScript, HTML, and CSS.
• Design and integrateLLM applications, RAG pipelines, embeddings, vector databases, AI agents, and enterprise data sources.
• Establish engineering standards forsecurity, reliability, scalability, observability, performance, and maintainability.
• Lead technical design reviews, architecture discussions, technology evaluations, and build-vs-buy decisions.
• Design event-driven and distributed application architectures where appropriate.
• Collaborate with Product, Data Science, Cybersecurity, Cloud, and other technology stakeholders.
• Drive technical solutions from requirements and architecture through development, testing, deployment, and production support.
• Mentor senior engineers,provide technical guidance, and contribute to hiring and engineering capability development.
• Promote responsible AI practices coveringprivacy, explainability, governance, security, and appropriate AI controls.
• Identify opportunities to improve engineering processes, architecture, automation, and AI adoption.
• Support enterprise-scale deployment and productionisation of AI solutions.

What Makes You a Great Fit

• 10+ years of software engineering experience, including5+ years building production systems with Python.
• Strong hands-on expertise withFastAPI, Django, Flask, REST APIs, and event-driven architectures.
• Proven experience designing scalable backend systems and enterprise application architectures.
• Full-stack developmentexperience withReactor Angular, TypeScript, HTML, and CSS.
• Strong practical experience buildingLLM-powered applications, prompt engineering, RAG, embeddings, vector databases, and AI agents.
• Strong cloud-native expertise acrossAWS, Azure, or GCP, along with Docker, Kubernetes, and CI/CD.
• Solid experience withSQL and NoSQL databasesand enterprise data integrations.
• Proven ability to lead architecture decisions, conduct technical design reviews, and influence engineering teams.
• Experience delivering AI solutions at enterprise scale is highly desirable.
• Knowledge ofMLOps, LLMOps, AI safety controls, governance, and responsible AI practices.
• Familiarity withAzure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Strong understanding ofapplication security, observability, reliability, performance, and scalability.
• Experience working in consulting, enterprise technology, or regulated-industry environments is an advantage.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills.
• Relevant certifications incloud architecture, software architecture, or AI technologieswould be an advantage.