About the job
Position: Jr. Gen AI Engineer (CE45SF RM 3817) 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 Requirements 4-5 years of relevant experience in AI/ML or backend systems, with a strong focus on LLM application development and AI system design. Proven experience architecting and deploying AI frameworks or agentic systems in production environments. Strong expertise in AI framework and the Java ecosystem — comfortable building and orchestrating AI workflows using Spring Boot, Spring AI, and vector storage integrations. Experience in RAG architecture, prompt engineering, memory management, and model orchestration patterns. Familiarity with OpenAI, Anthropic, and Google Gemini APIs and evaluation frameworks for reasoning quality. Strong software engineering fundamentals — versioning, pipelines, CI/CD, and API integration. Experience with vector databases (e.g., Pinecone, Weaviate, or Chroma) or knowledge graph-based retrieval. 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. Bonus: Background in cybersecurity, SaaS platforms, or risk intelligence systems.
Requirements
- Gen AI
- Python
- JAVA
- Vector DB
- LLM
- RAG
- Linux OS
Preferred Technologies
- Gen AI
- Python
- JAVA
- Vector DB
- LLM
- RAG
- Linux OS
About the company
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