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Sr Software Development Engineer Sde Iii Ai Saas Products

💼 Full-time🗓 2026-07-26

Core

Lead a team of engineers to develop and scale AI-powered dynamic pricing SaaS products for travel, retail, and entertainment industries, handling over 1 billion data points daily.

Role type

Senior IC machine-learning engineer (audio)

Builds

Web applications and AI/ML modules for dynamic price optimization

Domain

B2B SaaS, AI/ML, Travel/Retail/Hospitality

Deliverable

production ML models

Required skills

Team management, Full stack development, MVC frameworks, SQL/No-SQL databases, Microservices architecture, Machine queues, Algorithmic problem solving, Data architecture, API integrations, App performance optimization

Preferred skills

Entrepreneurial mindset, Self-learning, Client interaction

Technologies

GDS platforms, Amazon, FlipKart, Shopify, WooCommerce, Salesforce, Microsoft Dynamics

Responsibilities

Lead team of software and full stack engineers, Develop web application design and development concentrating on Artificial intelligence modelling, Manage development sprints and processes, Plan API based integrations with third party tech platforms, Oversee data engineering and build data processing scripts, Ensure seamless integrations of AI/ML modules at production scale, Enhance data processing and tech architecture for superior computation performance

Seniority

Senior, hands-on IC

Rewrite
## About the role The primary role of Sr. Software Development Engineer (SDE-III) will be to lead a team of high calibre software and full stack engineers to develop amazing SaaS products for AI powered dynamic price optimization, including but not limited to: - Team management: Lead a team of high calibre software and full stack engineers - Product development: Lead development of web application design and development concentrating on Artificial intelligence modelling operating at huge scale (+1Billion data processing per day). - Manage development sprints and processes: Follow an agile development process in the team; breakdown requirements into smaller chunks; plan out a road map for development, and prioritize items for each sprint. Ensure quality of work and timely deliveries. - Plan integrations: Plan API based integrations with third party tech platforms (e.g. GDSs operating in Travel or Hospitality industries, Seller services in marketplaces like Amazon, FlipKart, Public Apps in Shopify, woocommerce; sales enablement platforms like SalesForce, Microsoft Dynamics, etc.) - Oversee data engineering: Build complete understanding of data architecture, write data processing scripts to prepare data for feeding to the AI engine(s); - AI and ML modules: Ensure seamless integrations of AI/ML modules at production scale. - App performance Optimization: Enhance the data processing and tech architecture to deliver superior computation performance and scalability of the Apps. - Product enhancements: Interact with client and business side teams to develop a roadmap for product enhancements. ## Candidate profile - Entrepreneurial mind set with a positive attitude is a must. - Prior experience (minimum 3 years) in multi-tenant SaaS full stack application development. - Expert knowledge of MVC frameworks, SQL and No-SQL databases, MSA architecture, machine queues is a must. - Strong acumen in algorithmic problem solving. - Self-learner: highly curious, self-starter and can work with minimum supervision and guidance. - Track record of excellence in academics or non-academic areas, with significant accomplishments. - Excellent written & oral communication and inter-personal skills, with high degree of comfort working in teams and making teams successful. ## Qualifications - BTech / BE / BS / MTech / MCA / ME / MS in Computer Science/Engineering, IT or related field - 3 - 6 years work experience
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