DL
AI Native Software Engineer
Diverse Lynx India
Location not stated
2 months ago
- System Design
- AI
- LangGraph
- LangChain
- RAG
- Cursor
- Claude Code
- Codex
- Windows
- Azure
- AWS
- GCP
- REST API
- CI/CD
2 months ago
•Engineering Fundamentals:Strong mastery of computer science fundamentals — data structures, algorithms, distributed systems, and system design. You must be able to catch and correct AI errors because you understand the underlying systems.
•Code Review & Auditing:Exceptional ability to read, evaluate, and critique AI-generated code across multiple languages rapidly.
•Agentic System Design:Hands-on production experience building agent harnesses, multi-agent orchestration pipelines, and supervisor/routing patterns using frameworks such as LangGraph, LangChain, or equivalent.
•RAG & Retrieval Engineering:Practical experience designing RAG pipelines including vector store selection, embedding strategies, hybrid search, Reciprocal Rank Fusion, and retrieval quality evaluation.
•AI Tooling Proficiency:Advanced hands-on experience with AI-native IDEs (e.g. Cursor, Windsurf, GitHub Copilot) and command-line agentic tools (e.g. Claude Code, Aider, Codex CLI).
•Context & Prompt Engineering:Proven ability to manage AI context windows, system instructions, tool schemas, and prompt structure to produce consistent, auditable outputs.
•Cloud & API Integration:Solid experience with cloud-native deployment (Azure, AWS, or GCP), RESTful API design, async patterns, and enterprise identity/auth integration.
•Testing & CI/CD:Strong experience writing automated test suites to validate AI-generated logic inside modern CI/CD pipelines, including adversarial and edge-case coverage.
AI Native Software Engineer · Diverse Lynx India