Senior AI Engineer

AstroVed is revolutionizing the astrology and spiritual wellness space by building an AI-powered platform that makes personalized Vedic astrological guidance accessible to millions worldwide. We are bridging 5,000 years of ancient wisdom with cutting-edge artificial intelligence to help people make better life decisions.

Our platform provides:

● Instant, accurate birth chart analysis powered by AI

● Personalized predictions and life guidance through conversational AI

● Customized remedy recommendations (gemstones, mantras, rituals)

● Auspicious timing predictions for major life events

The Project: Building an Intelligent Astrology Platform

You will be architecting and building the core AI intelligence layer that powers our entire platform. This is a greenfield project where you will create a sophisticated multi-agent AI system.

The Challenge

● Perform complex astrological calculations instantly

● Understand and respond to natural language queries about life questions

● Provide accurate, personalized predictions based on birth charts

● Recommend remedies tailored to individual situations

● Scale to serve millions while maintaining quality

The Solution

A sophisticated multi-agent AI system that combines:

● Astrological domain expertise encoded in specialized AI agents

● Large Language Models fine-tuned for empathetic, accurate predictions

● RAG accessing thousands of years of Vedic knowledge

● Predictive ML models for planetary transits and life events

● Real-time calculation engines for precise astronomical computations

What You Will BuildMulti-Agent AI System (40%)

● Chart Analysis Agent - Complex birth chart calculations

● Query Agent - Natural language understanding and responses

● Remedy Agent - Personalized solution recommendations

● Timing Agent - Auspicious moment identification

● Master Orchestrator - Query routing and workflow coordination

Knowledge & Intelligence Layer (30%)

● RAG System - Semantic search over Vedic texts

● LLM Integration - Fine-tune models for predictions

● Knowledge Base - Structure astrological knowledge

● Context Management - Multi-turn conversations

● Quality Assurance - Accurate, empathetic predictions

Backend Services & APIs (20%)

● FastAPI Services - High-performance REST APIs

● Astrological Calculations - Swiss Ephemeris integration

● Database Architecture - PostgreSQL schemas

● Caching Layer - Redis optimization

● Authentication & Security - JWT, rate limiting

ML Model Development (10%)

● Transit Predictions - Planetary movement forecasts

● Compatibility Analysis - Relationship scoring

● Life Event Models - Career, health, financial predictions

● Recommendation Systems - Personalized remedies

Must-Have Technical SkillsLLM & Agent Systems:

● Expert-level experience with LangChain, LangGraph, or similar

● Proven track record building multi-agent systems in production

● Advanced prompt engineering and optimization techniques

● Deep understanding of LLM capabilities and limitations

● Experience with function calling and structured outputs

Vector Databases & RAG:

● Production implementation of RAG architectures

● Hands-on with Pinecone, Weaviate, ChromaDB, or Qdrant

● Semantic search and embedding strategies

● Query optimization for sub-200ms retrieval times

Backend Engineering (Critical)

Python Expertise:

● 5+ years professional Python development

● Production experience with FastAPI

● Mastery of async programming (asyncio, ASGI)

● Clean code principles and design patterns

● Strong testing practices (pytest, >80% coverage)

Database & Data Management:

● PostgreSQL - Complex queries, optimization, indexing

● Redis - Caching patterns, session management, queues

● Vector databases - CRUD operations, metadata filtering

● Schema design and migration management

Nice-to-Have Skills

● RLHF implementation experience

● Knowledge graphs (Neo4j, AWS Neptune)

● GraphQL API design

● Kubernetes for container orchestration

Job Types: Full-time, Permanent

Benefits:

• Health insurance
• Leave encashment
• Provident Fund

Work Location: In person