Forward Deployment Engineer

Computer Science Fundamentals: Must demonstrate a deep understanding of Data Structures and Algorithms (e.g., time complexity, space complexity, and efficient data traversal).

System Design & SOLID Principles: Ability to apply architectural patterns (like Open/Closed principle) to ensure that the configurations created on our platform are extensible and maintainable.

Database Mastery: Proficiency in both Relational (SQL) and NoSQL (MongoDB) databases.

You must understand how to optimize queries for scale, manage primary/secondary keys, and implement indexing.

API Ecosystems: Strong experience with RESTful APIs, WebSockets, and OAuth.

You must be comfortable debugging integration issues between disparate enterprise systems.

Python (Highly emphasized for AI/ML and data pipeline workflows).Java (The core backend language for many of their enterprise connectors).JavaScript / TypeScript (Used for frontend interactions and custom UI logic).Data Structures & Algorithms (DSA): Candidates are expected to solve logic problems (e.g., finding elements in a list) without relying on built-in library functions like .sort(). Object-Oriented Design (SOLID): A deep understanding of the Open/Closed Principle is required to ensure that the configurations you build on the platform are maintainable.

Database Knowledge: Proficiency in both SQL (Structured) and NoSQL (specifically MongoDB).

You should be able to explain complex concepts like indexing, sharding, and "fail-safe" vs. "fail-fast" iteration.

4-6 years in building applications or AI Application or AI agents Good to have; Knowledge on Gen AI: LLMs, team of agents, MCP/A2A, RAG (chunking, embeddings, reranking, vector DBs), grounding/hallucination, AI governance, auditability, evaluation, HITL etc Model Ops: Prompt engineering, golden test set creation, agent-eval frameworks, A/B testing, regression analysis, basic fine tuning (PEFT/LoRA)

Integrations: REST/GraphQL APIs, OAuth, webhooks; stitching systems into end-to-end flows.

Product Thinking: Ability to unpack complex problems, map user journeys, and draft user stories & acceptance criteria Basic Design Aptitude: Comfort with quick wireframes and basic visual flows Basic coding knowledge: Python, Java, C++, Groovy