Framemogging AI Eng

• Job Title
• AI Engineer – Framemogging / LLM Systems
• Company
• Vedika API
• Location
• Remote (India)
• About Vedika API

Vedika API is building infrastructure for next-generation AI applications in astrology, knowledge systems, and intelligent reasoning. Our products power platforms like GrahaGuru and other AI-native applications that blend ancient knowledge systems with modern machine learning.

We are looking for an AI engineer who enjoys pushing the limits of LLMs, reasoning systems, and structured knowledge frameworks.

Role Overview

As an AI Engineer focused on Framemogging systems, you will design and implement advanced AI pipelines that structure, manipulate, and optimize knowledge frames used by large language models. Your work will directly power next-generation AI reasoning and prediction systems.

Responsibilities

• Design and implement AI pipelines using LLMs and retrieval systems
• Develop structured knowledge frameworks for reasoning and prediction models
• Work on prompt architectures, agent workflows, and context optimization
• Build scalable AI APIs and integrate them into production applications
• Optimize inference speed, cost, and response quality of AI systems
• Collaborate with product and research teams to ship real-world AI features

Requirements

• Strong experience with Python and AI frameworks
• Experience working with LLMs, RAG systems, or AI agents
• Understanding of vector databases, embeddings, and retrieval systems
• Experience with API development and production deployments
• Ability to experiment rapidly and ship AI features quickly

Nice to Have

• Experience with LangChain, LlamaIndex, or similar frameworks
• Knowledge of knowledge graphs or reasoning systems
• Experience optimizing LLM inference or building AI infrastructure
• Interest in astronomy, astrology, or symbolic knowledge systems