1 month ago
Gurgaon, IndiaSenior
Responsibilities
- Design and run experiments that evaluate emerging AI capabilities against real internal use cases.
- Build lightweight prototypes to validate or quickly reject ideas.
- Document experiment findings, recommendations, risks, unknowns, and open questions.
- Monitor emerging AI tools and models and convert relevant developments into internal proof points.
- Partner with product, platform, and internal engineering teams to transition validated capabilities toward production.
- Influence roadmap or tooling direction through evidence-based experimentation.
Requirements
- 2–5 years of professional software engineering experience.
- Deep experience with at least one modern programming language such as Python, TypeScript, Go, or Rust.
- Hands-on experience prototyping with LLMs or agentic systems, including evaluations, fine-tuning, RAG, tool use, or orchestration frameworks.
- Strong technical judgment and ability to independently solve complex engineering problems.
- Ability to operate in ambiguity, scope experiments, iterate quickly, and work with unclear requirements.
- Strong communication and cross-functional collaboration skills.
- Preferred experience building full-stack applications, engineering-facing systems or services, model evaluation frameworks, vector databases, or agent orchestration tooling.
- Preferred knowledge of TanStack Start, Next.js, FastAPI, React, LangGraph, containerized applications, Kubernetes, and CI/CD pipeline design.
- Preferred familiarity with transformer architecture and model internals.
Benefits
- Hybrid working model for candidates based in Gurugram.
- Supportive culture with employee affinity groups, fertility assistance, and generous parental leave.
- Disability accommodations are available 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.