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MongoDB

Senior Software Engineer, AI Builder Experience (ABX)

Gurgaon · Senior

Older listing - lower visibility likelyVerified listingPosted 54d ago

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97Experience

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Skills required

16 listed
Agentic AIBusiness ContinuityProduct DesignTechnical CommunicationGoogle CloudMicrosoft AzureMongoDBModel Context Protocol (MCP)+8 more
Agentic AIBusiness ContinuityProduct DesignTechnical CommunicationGoogle Cloud

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Job description

AI agents are transforming the way developers interact with software - and databases are no exception. We're seeking a Senior 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 Senior 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.

This role can be based out of our Gurugram office.

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
  • 5+ years of experience building backend systems, primarily in Node.js and TypeScript, with an interest in working across a polyglot codebase
  • Proven success in designing, writing, testing, debugging, and performance tuning software systems in large, long-lived code bases
  • Track record of identifying problems, implementing solutions, and delivering complex projects independently with minimal guidance
  • 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
  • Be a force multiplier in our software development process - enable teams to deliver great products through leadership and technical contributions
  • 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.

Requisition ID 3273511634

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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