Job Description
Job Title
nAI Engineer – Framemogging / LLM Systems
nCompany
nVedika API
nLocation
nRemote (India)
nAbout Vedika API
nVedika 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.
nWe are looking for an AI engineer who enjoys pushing the limits of LLMs, reasoning systems, and structured knowledge frameworks.
nRole Overview
nAs 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.
nResponsibilities
n
- n
- Design and implement AI pipelines using LLMs and retrieval systemsn
- Develop structured knowledge frameworks for reasoning and prediction modelsn
- Work on prompt architectures, agent workflows,



and context optimizationn
- Build scalable AI APIs and integrate them into production applicationsn
- Optimize inference speed, cost, and response quality of AI systemsn
- Collaborate with product and research teams to ship real-world AI featuresn

nRequirements
n
- n
- Robust experience with Python and AI frameworksn
- Experience working with LLMs, RAG systems, or AI agentsn
- Understanding of vector databases, embeddings, and retrieval systemsn
- Experience with API development and production deploymentsn
- Ability to experiment rapidly and ship AI features quicklyn

nNice to Have
n
- n
- Experience with LangChain, LlamaIndex, or similar frameworksn
- Knowledge of knowledge graphs or reasoning systemsn
- Experience optimizing LLM inference or building AI infrastructuren
- Interest in astronomy, astrology, or symbolic knowledge systemsn

📌 Framemogging AI Eng (Pune)
🏢 Vedika API
📍 Pune