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 contemporary 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 - Solid 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

📌 Framemogging Ai Eng Pune
🏢 Vedika API
📍 Pune