MongoDB seeks an experienced Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Our ideal candidate:- Has 2-5 years of professional software engineering experience
- Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.)
- Strong technical judgment and the ability to independently solve complex engineering problems
- Excellent communication skills and comfort collaborating across teams and disciplines
- Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet
- Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks)
- Has the ability to iterate fast, specially in the case where requirements are not clear
- Keeps up with emerging AI tooling and models, not just what's already mainstream
- Collaborative, detail-oriented, and passionate about developing usable software
- Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines
- Experience designing systems or services used by other engineers or teams
- Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React
- Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph)
- Familiarity with transformer architecture and model internals
- Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines
- Design and run experiments that test emerging AI capabilities against real internal use cases, before they're formally prioritized. Condense the learnings of those experiments and document them so that the knowledge can be used across the org.
- Build lightweight prototypes to validate or kill ideas quickly
- Stay current on new AI tooling and models, and turn relevant developments into concrete internal proof points
- Partner with product, platform, and internal engineering teams to hand off validated capabilities once they're ready to move from experiment to production
- Maintain technical rigor and clear documentation of findings, even for work that doesn't ship
- Identify and communicate risks, unknowns, and open questions clearly to stakeholders
- In three months, have run and documented at least one AI capability experiment, with a clear recommendation on whether and how to pursue it further
- In three months, demonstrate the ability to move quickly from idea to working prototype
- In six months, have influenced the org's roadmap or tooling direction by surfacing a capability two to three steps ahead of current need, backed by evidence from your experimentation
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 AI-native startups and approximately 75% of the Fortune 100, 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 - 3273558097
Skills Required
- 2-5 years of professional software engineering experience
- Deep experience with at least one modern programming language such as Python, TypeScript, Go, or Rust
- Strong technical judgment and ability to independently solve complex engineering problems
- Excellent communication and cross-functional collaboration skills
- Ability to operate in ambiguity, scope experiments, and determine approaches independently
- Hands-on experience prototyping with LLMs or agentic systems, including evaluations, fine-tuning, RAG, tool use, or orchestration frameworks
- Ability to iterate quickly when requirements are unclear
- Awareness of emerging AI tooling and models
- Collaborative, detail-oriented approach and passion for developing usable software
- Experience building and maintaining full-stack applications, including front-end UIs, backend APIs, and data pipelines
- Experience designing systems or services used by other engineers or teams
- Knowledge of TanStack Start, Next.js, FastAPI, or React
- Experience with model evaluation frameworks, vector databases, or agent orchestration tools such as LangGraph
- Familiarity with transformer architecture and model internals
- Familiarity with containerized applications, Kubernetes, and CI/CD pipeline design
What the Team is Saying
MongoDB Compensation & Benefits Highlights
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Parental & Family Support — Family programs are described as a standout, with generous paid parental leave and robust fertility/adoption support plus backup care resources. Feedback suggests these offerings materially enhance the package for caregivers.
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Healthcare Strength — Health coverage includes medical, dental, and vision alongside mental-health resources and broader wellness initiatives such as MongoDB Bloom. Feedback suggests the breadth of health support is a core strength of the package.
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Equity Value & Accessibility — Employees can participate in an ESPP, and many roles include RSUs or equity awards. Feedback suggests the equity component is a meaningful part of total compensation.
MongoDB Insights
What We Do
The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.
Why Work With Us
We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.
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MongoDB Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.
