1 month ago
Gurgaon, IndiaSenior
Responsibilities
- Design and run experiments testing emerging AI capabilities against real internal use cases.
- Build lightweight prototypes to validate or quickly reject ideas.
- Stay current on AI tooling and models and turn relevant developments into internal proof points.
- Partner with product, platform, and internal engineering teams to transition validated capabilities toward production.
- Document experimental findings and maintain technical rigor, including for work that does not ship.
- Identify and clearly communicate risks, unknowns, and open questions to stakeholders.
Requirements
- 6+ 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 the ability to independently solve complex engineering problems.
- Hands-on experience prototyping with LLMs or agentic systems, including evaluations, fine-tuning, RAG, tool use, or orchestration frameworks.
- Ability to work effectively in ambiguity, iterate quickly, and scope experiments when requirements are unclear.
- Excellent communication and cross-functional collaboration skills.
- Passion for building reliable, usable software and keeping up with emerging AI tooling and models.
- Preferred: experience building full-stack applications, systems or services for other engineers, model evaluation frameworks, vector databases, agent orchestration tooling, transformer architecture, containerized applications, Kubernetes, and CI/CD pipeline design.
- Preferred technology knowledge includes TanStack Start, Next.js, FastAPI, and React.
Benefits
- Hybrid working model for candidates based in Gurugram.
- Supportive and enriching company culture with employee affinity groups.
- Fertility assistance and generous parental leave policy.
- Workplace accommodations are available for individuals with disabilities during the application and interview process.
Tech Stack
Categories
About MongoDB
MongoDB builds the MongoDB document database and the MongoDB Atlas cloud database service for application developers and enterprises. Its business model centers on cloud consumption (Atlas), commercial subscriptions, and support, with tooling for migration, synchronization, and disaster recovery across on‑prem and multi‑cloud environments. Founded in 2007 and headquartered in New York, it is a public company listed on NASDAQ and widely used across industries worldwide.