Buisness Analyst And Data

Weekday AI (YC W21); Pune District; 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 architecture, development, and delivery of production-grade AI-powered applications. You will guide software architecture, perform hands-on Python development, and mentor teams across enterprise-scale AI initiatives.

The role requires strong experience in scalable backend systems, LLM-powered applications, and cloud-native delivery with a focus on governance, security, and responsible AI practices.

Qualifications

• 10+ years of software engineering experience.
• 5+ years building production systems with Python.
• Hands-on with FastAPI, Django, Flask, REST APIs, and event-driven architectures.

Responsibilities

• Define and evolve scalable end-to-end architectures for AI-powered systems.
• Lead backend services, APIs, and AI orchestration layers using Python.
• Develop full-stack applications using React/Angular, TypeScript, HTML, CSS.

Skills

Python production

FastAPI/Django/Flask

REST APIs

Event-driven architecture

Full-stack React/Angular

LLM / RAG / embeddings

Cloud (AWS/Azure/GCP)

Docker/Kubernetes/CI–CD

SQL/NoSQL databases

Technical leadership

Security / observability

MLOps / AI governance

AI platforms (Azure OpenAI / Bedrock /

Education

Cloud architecture certifications

Tools

FastAPI

Django

React/Angular

TypeScript

Docker

Kubernetes

CI/CD

LLM platforms (Azure OpenAI, Bedrock, Vertex AI)

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.