Role at a glance
- Salary
- Not Disclosed
- Location
- Gurugram Gurugram, Haryana, India
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- 3+ years of experience building backend systems, primarily in Node.js and TypeScript
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Role Summary
The AI Interfaces team within AI Builder Experience builds the products through which developers and AI agents connect to MongoDB, including the MongoDB MCP Server, Agent Skills, Intelligent Assistant Platform, and purpose-built agents. The Software Engineer will provide technical direction, shape architecture, and deliver core platform capabilities for AI applications and agentic workflows.
What You'll Do
- Define the first version and future evolution of AI interfaces with research, product management, product engineering, product design,...
- Design, build, and deliver well-tested core platform components, including the MongoDB MCP Server, Agent Skills, Intelligent Assistant...
- Take ownership of ambiguous problems and drive them to completion independently as requirements evolve.
- Contribute to architecture, code reviews, development practices, and developer experience.
- Mentor fellow engineers and assume ownership and accountability of projects.
- Participate in a 24/7 on-call rotation for business continuity and incident response.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong background in building core components for scalable, high-availability web applications and services; 3+ years of backend systems experience primarily in Node.js and TypeScript; track record of identifying problems, implementing solutions, and working on complex projects; excellent verbal and written technical communication skills.
Required
- Scalable, high-availability web applications and services
- Backend systems
- Node.js
- TypeScript
- Polyglot codebases
- Identifying problems and implementing solutions
- Complex projects
- Verbal and written technical communication
Preferred
- Building MCP servers, agent skills, or plugins for agentic applications
- Agentic AI tooling ecosystem, including AI IDEs, CLIs, and assistants
- Java and/or Python
- OAuth and authentication infrastructure for developer-facing services
- Databases and database internals
- Containerization and orchestration platforms such as Kubernetes
- AI frameworks and tools
Original job description
Content provided by the employer
Original job description
Content provided by the employer
AI agents are transforming the way developers interact with software - and databases are no exception. We're seeking a Software Engineer to join our AI Interfaces team within AI Builder Experience (ABX), where you'll provide technical direction, shape architecture, and build the core products that make it seamless for developers and AI agents to work with MongoDB. Our team owns the surfaces through which humans and agents connect to MongoDB - including the MongoDB MCP Server, Agent Skills, our Intelligent Assistant Platform, and purpose-built agents. In short: if it's how an agent talks to MongoDB, we're building it.
This is a new team charting new territory, and as a Software Engineer here, you'll be right at the frontier - building the technologies that let AI applications and agentic workflows work seamlessly with MongoDB at scale. You'll integrate with fast-moving, often unproven technologies, make pragmatic calls in the face of ambiguity, and own high-visibility projects end to end with minimal guidance. We're looking for product-minded engineers who thrive on autonomy and take pride in shipping. MongoDB engineering teams pride themselves on building high-quality software and living our cultural values every day - we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.
This position requires participation in a 24/7 on-call rotation to ensure business continuity and incident response capabilities.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Position Expectations
- Work closely with research, product management, product engineering, product design, peers, as well as other teams within the company to define the first version and future evolution of our AI interfaces
- Design, build, and deliver well-tested core pieces of the platform - including the MongoDB MCP Server, Agent Skills, the Intelligent Assistant Platform, and purpose-built agents - in collaboration with other vested parties
- Take ownership of ambiguous problems and drive them to completion independently, making sound decisions as requirements evolve
- Contribute to shaping architecture, code reviews, and development practices, as well as developer experience, as the teams and product grow
- Mentor fellow engineers and assume ownership and accountability of projects
Qualifications
- Strong background in building core components for scalable, high-availability web applications and services
- 3+ years of experience building backend systems, primarily in Node.js and TypeScript, with an interest in working across a polyglot codebase
- Track record of identifying problems, implementing solutions, and working on complex projects
- A product-minded approach to engineering, with the judgment to make pragmatic tradeoffs and the comfort to operate amid ambiguity and rapidly evolving technologies
- Enjoys collaboration and being part of a team; is approachable, curious, and intellectually honest
- Excellent verbal and written technical communication skills, and a desire to collaborate with colleagues
- Eager to learn, with a strong technical background
Nice to Haves
- Experience building MCP servers, agent skills, or plugins for agentic applications
- Familiarity with the agentic AI tooling ecosystem (AI IDEs, CLIs, and assistants) and how developers integrate with it
- Working knowledge of Java and/or Python
- Experience with OAuth and authentication infrastructure for developer-facing services
- Experience working with databases and knowledge of database internals
- Bonus points for experience with containerization and orchestration platforms (e.g. Kubernetes) and AI frameworks and tools
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID - 426370
About the company
MongoDB
Large Enterprise
MongoDB is a leading provider of modern, general-purpose databases designed for scalability, performance, and flexibility. Founded in 2007, the company offers an innovative, open-source database platform that allows developers to store and manage data in JSON-like formats, enabling easier and faster application development. With a strong focus on data accessibility and cloud integration, MongoDB serves a diverse range of industries, empowering businesses to harness the power of data and build intelligent applications. As a significant player in the tech landscape, MongoDB supports developers and organizations with robust resources and a vibrant community.
MongoDB is a leading provider of modern, general-purpose databases designed for scalability, performance, and flexibility. Founded in 2007, the company offers an innovative, open-source database platform that allows developers to store and manage data in JSON-like formats, enabling easier and faster application development. With a strong focus on data accessibility and cloud integration, MongoDB serves a diverse range of industries, empowering businesses to harness the power of data and build intelligent applications. As a significant player in the tech landscape, MongoDB supports developers and organizations with robust resources and a vibrant community.