Senior Engineer - Enterprise Architecture

MongoDB

Gurugram, India

Hybrid

Who this role is best for

Aimed at mid-to-senior level software engineers with AI prototyping experience who thrive in ambiguous environments and can collaborate across teams.

Best fit for

Candidates with strong AI experimentation skills and a background in building prototypes with LLMs or agentic systems
— “Hands-on experience prototyping with LLMs or agentic systems”
Individuals who can independently solve complex engineering problems and operate in ambiguous scenarios
— “Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet”
Engineers with a track record of documenting technical findings and influencing organizational decisions
— “Maintain technical rigor and clear documentation of findings, even for work that doesn't ship”

Things to consider

Geographic restriction to Gurugram for hybrid work model participation
— “We are looking to speak to candidates who are based in Gurugram”
Requires significant autonomy in solving complex problems without clear requirements
— “Ability to iterate fast, specially in the case where requirements are not clear”

How to stand out

Highlight AI experimentation projects with clear outcomes and documented insights in your resume
— “Condense the learnings of those experiments and document them”
Emphasize experience with emerging AI tooling and models, not just mainstream ones
— “Stay current on new AI tooling and models, and turn relevant developments into concrete internal proof points”
Showcase skills in building and maintaining full-stack applications if available
— “Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines”
Demonstrate ability to move quickly from idea to prototype in your interview narrative
— “Demonstrate the ability to move quickly from idea to working prototype”
Include any experience with agent orchestration frameworks like LangGraph in your technical background
— “Experience with agent orchestration tooling (e.g., LangGraph)”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Design and run experiments that test emerging AI capabilities against real internal use cases

Typical background

6+ years of professional software engineering experience

Skills & requirements

Required

PythonTypeScriptGoRustRestful API DevelopmentDatabasesORM FrameworksGitSoftware Development Best Practices

Preferred

Tanstack StartNext.jsFastapiReactModel Evaluation FrameworksVector DatabasesAgent Orchestration ToolingTransformer ArchitectureContainerized ApplicationsKubernetesCi/cd Pipelines

Stack & domain

PythonTypeScriptGoRustLlmsAgentic SystemsEvalsFine-tuningRAGTool UseOrchestration FrameworksTransformer ArchitectureModel Evaluation FrameworksVector DatabasesAgent Orchestration ToolingContainerized ApplicationsKubernetesCi/cd PipelinesTanstack StartNext.jsFastapiReactCommunicationCollaborationProblem-solvingTechnical JudgmentAbility To Iterate FastAbility To Scope And Run ExperimentsAbility To Document FindingsAbility To Identify And Communicate RisksAbility To Influence The Org's RoadmapAISoftware Engineering

About the role

Original posting from MongoDB

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Team Description
MongoDB seeks an experienced Senior 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.
Our ideal candidate:
Has 6+ 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 building reliable, usable software
Bonus Round:
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
Position Expectations:
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
Success Measures:
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
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 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
3273558098

Source: MongoDB careers