AI/ML ops software engineer at Smartsheet Bengaluru, designing and maintaining reliable AI/ML platforms and pipelines.

This full-time Bengaluru role was posted on 25 September 2026. The listing describes designing, developing and maintaining stable and reliable AI/ML ops platforms and pipelines, with a minimum of 4-6 years of AI/ML ops experience required. Other requirements include enterprise SaaS software solutions with high availability and scalability, and solutions handling large-scale structured and unstructured data from varied sources.

About Smartsheet

Smartsheet builds a work management platform used by teams to plan, track and automate projects and processes. Per its listings, the company has operated for over 20 years and is now building AI-agent capabilities into the product.

Smartsheet has an engineering centre in Bengaluru with listings across product engineering, data and technical program roles. Learn more on Smartsheet's website.

The role in plain terms

The 4-6 year band makes this the mid-level counterpart to Smartsheet's senior ML ops opening: same platform domain, tighter experience window, and a cleaner entry point for engineers earlier in the ML platform track. The enterprise SaaS availability requirement means production discipline from day one - these pipelines serve live product features.

The team and the work

Per the listing, the work supports Smartsheet's AI-agent product direction, so the pipelines you maintain power actively shipping AI features.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

Enterprise SaaS software solutions with high availability and scalability
Solution handling large scale structured and unstructured data from varied data sources
Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
In depth experience in AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
Programming languages like Python and SQL

Who this role suits

Engineers with 4-6 years in ML ops or ML platform work at enterprise SaaS scale. Not for data scientists without production pipeline experience, or backend engineers new to ML systems.

Practical notes

For ML ops roles, expect questions on pipeline reliability (monitoring, retraining, rollback) and a deployment you owned. Mid-level loops typically include a practical coding or design exercise.

Working at Smartsheet

Engineering at Smartsheet spans the web application platform, data infrastructure and newer AI orchestration features described in its current listings.

How to apply

Apply directly on the employer's site: AI ML Ops Software Engineer at Smartsheet. We found this listing on the Greenhouse public job board (job-boards.greenhouse.io), where it was posted on 25 Sep 2026 and was still open when we checked on 30 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

Related openings on GetFirstJob

If this role is not the right fit, these current openings are in a similar area:

We write and maintain this page from the employer's public listing and link straight to their application page. We do not act as a recruiter, and applying is always free. If the link above stops working, the role has likely been filled.

This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.