Jr. Gen AI Engineer

About the job

Requirements Must have skills: Gen AI, Python or JAVA, Vector DB, LLM, RAG, Linux OS fundamentals Good to have: Communication, Network firewalls, routers and switches, Spring boot Role: Gen AI Engineer – LLM Architecture, RAG, and Agentic AI Responsibilities • Architect and build Cognia’s AI framework, integrating LLMs, memory, RAG, and agentic reasoning across the platform. • Design AI agents and reasoning flows that interpret app, infra, and IAM telemetry for risk triage and remediation. • Develop retrieval-augmented generation (RAG) pipelines for context-based summarization, persona-driven views, and continuous learning. • Implement LLM memory and context management (short-term, long-term, and episodic memory) for persistent reasoning. • Tune prompts, evaluation logic, and reasoning paths across multiple models (GPT-4, Claude, Gemini, etc.). • Collaborate with founders, backend engineers, and data teams to integrate AI logic with product pipelines and APIs. • Define AI architecture standards, evaluation metrics, and observability for all LLM-driven components.

Requirements

• Gen AI
• Python
• JAVA
• Vector DB
• LLM
• RAG
• Linux OS fundamentals

Preferred Technologies

• Gen AI
• Python
• JAVA
• Vector DB
• LLM
• RAG
• Linux OS fundamentals