Join MongoDB as a Software Engineer to drive AI experimentation and collaborate across teams in a hybrid work environment.
Posted by employer 17 hours ago
First seen on Joblaze 10 hours ago
Last verified on the company career page 10 hours ago
Skills & Technologies
What you'll build
- Design and run experiments testing AI capabilities
- Build lightweight prototypes
- Stay current on new AI tooling and models
- Partner with product and engineering teams
- Document findings and communicate risks
Must have
- 2-5 years of professional software engineering experience
- Deep experience with at least one modern programming language
- Strong technical judgment
- Excellent communication skills
- Hands-on experience prototyping with LLMs
Nice to have
- Experience building and maintaining full-stack applications
- Knowledge of Tanstack Start, Next.js
- Experience with model evaluation frameworks
- Familiarity with transformer architecture
- Familiarity with containerized applications
Practical constraints
- Candidates must be based in Gurugram
AI in the day-to-day
Explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities.
Requirements
- Experience
- 2–5 years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer will focus on designing and executing experiments to test emerging AI capabilities, collaborating with various teams to validate ideas before they are integrated into the product roadmap. Proficiency in modern programming languages such as Python or Go, along with hands-on experience in AI prototyping, is essential. This position is suited for candidates with 2-5 years of software engineering experience who are comfortable navigating ambiguity and iterating quickly. The team emphasizes technical rigor and clear documentation, fostering a culture of innovation within MongoDB.
Joblaze insights
- Listed today — first seen on Joblaze September 28, 2026. Last confirmed on MongoDB's careers page September 28, 2026.
Quick facts
- Is the Software Engineer 3 - Enterprise Architecture role remote?
- It's hybrid — MongoDB expects some on-site time in Gurugram, India.
- How much experience is required?
- 2–5 years of relevant experience for this Software Engineer 3 - Enterprise Architecture role.
- Where is the role based?
- MongoDB is hiring for this position in Gurugram, India.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: FastAPI, Go, Kubernetes, LLMs, Python, React.
- What seniority level is this role?
- MongoDB targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer 3 - Enterprise Architecture role at MongoDB.
From the original posting
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
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
MongoDB is an equal opportunities employer.
Requisition ID - 3273558097
Standard company text repeated across MongoDB's postings is omitted here.