AI Engineer

Jothishi Online and Advertising Services Private Limited; Bengaluru; Híbrido; INR 1.500.000 - 2.300.000; Tempo integral

Resumo da vaga

JOTHISHI Online & Advertising Services Pvt. Ltd. in Bengaluru is seeking an AI Engineer to design, develop, and continuously improve the AI systems powering RetroGrade AI.

You will work at the intersection of LLMs, astrology data, structured planetary information, RAG pipelines and API-driven backend services. The role focuses on building scalable AI products, integrating astrology APIs, prompt engineering and real‑time reasoning across multiple data sources to deliver accurate, contextual

Qualificações

• Proficient in Python and backend development.
• Experience with REST APIs and Git/GitHub.
• Understanding of data structures and databases.

Responsabilidades

• Design, develop and improve AI systems powering RetroGrade AI.
• Integrate and test AI models, data pipelines and APIs.
• Build and optimize RAG pipelines and embeddings.
• Develop prompt engineering and context-engineering systems.
• Collaborate with product managers, developers and domain experts.
• Ensure latency, accuracy and relevance of responses.

Conhecimentos

Python

REST APIs

Git/GitHub

Databases

Software fundamentals

LLMs/Generative AI

Prompt engineering

Context engineering

Ferramentas

LangChain

LangGraph

LlamaIndex

Vector databases

pgvector/Pinecone/FAISS

Descrição da vaga

AI ENGINEER – RETROGRADE AI

Generative AI | LLMs | RAG | AI Agents | Vedic Astrology

Company: JOTHISHI Online & Advertising Services Pvt. Ltd.
Product: RetroGrade AI
Website: https://retrograde.co.in/
Location: Bengaluru / Hybrid / Remote
Employment: Full-Time

About RetroGrade AI

RetroGrade AI, from the House of JOTHISHI, is building an intelligent AI-powered Vedic Astrology platform that combines traditional Jyotisha knowledge with modern Artificial Intelligence.

We are looking for an AI Engineer who is passionate about Generative AI, Large Language Models, intelligent systems, and building real-world AI products.

This is an opportunity to work on an AI product where LLMs, astrology knowledge, structured planetary data, RAG, APIs, prompt engineering, and conversational AI come together to create personalized astrological experiences.

The Role

As an AI Engineer, you will be responsible for designing, developing, integrating, testing, and continuously improving the AI systems powering RetroGrade AI.

You will work closely with the product and technology team to build an AI engine capable of understanding user questions, interpreting structured astrological information, retrieving relevant knowledge, reasoning across multiple data sources, and generating accurate, contextual, and meaningful responses.

Key Responsibilities

• Build and improve LLM-powered applications for RetroGrade AI.
• Develop and optimize RAG (Retrieval-Augmented Generation) pipelines.
• Integrate and work with LLMs such as Gemini, OpenAI and other leading models.
• Develop sophisticated prompt engineering and context-engineering systems.
• Integrate astrology APIs and structured planetary/horoscope data with AI models.
• Build semantic search, embeddings and knowledge-retrieval systems.
• Develop AI agents, tool-calling workflows and intelligent automation.
• Create and maintain APIs and backend services connecting AI models with the application.
• Improve response accuracy, consistency, relevance and latency.
• Design systems for AI evaluation, hallucination reduction and response quality monitoring.
• Experiment with different models, prompts, RAG strategies and AI architectures.
• Work with large volumes of structured and unstructured Vedic Astrology knowledge.
• Help build a scalable AI architecture capable of serving users globally.
• Collaborate with developers, astrologers, product managers and domain experts.

Required Skills

Core Engineering

• Strong Python programming skills.
• Experience with REST APIs and backend development.
• Strong understanding of software development fundamentals.
• Experience with Git/GitHub.
• Understanding of databases and data structures.

Generative AI

• Hands‑on experience with LLMs / Generative AI.
• Experience with LLM APIs such as Gemini, OpenAI, Claude or similar.
• Strong Prompt Engineering skills.
• Understanding of context engineering and LLM application architecture.
• Experience with RAG, embeddings and semantic search.
• Familiarity with vector databases such as pgvector, Pinecone, FAISS, Weaviate or similar.
• Experience with LangChain, LangGraph, LlamaIndex or similar frameworks is preferred.

AI Product Development

• Experience integrating AI into real-world applications.
• Understand model evaluation and AI quality improvement.
• Ability to debug AI outputs and identify hallucination, retrieval and context issues.
• Understanding of AI agents, function/tool calling and workflow orchestration is an advantage.
• Experience with Docker, cloud platforms and production deployment is preferred.

Highly Preferred

Experience in any of the following will be an advantage:

• Vedic Astrology / Jyotisha
• Astrology APIs
• Horoscope or birth-chart systems
• Knowledge graphs
• Recommendation systems
• Conversational AI / AI chatbots
• Voice AI
• Agentic AI
• Fine‑tuning / model adaptation
• MCP (Model Context Protocol)
• LangGraph / LangChain
• Google Gemini / Vertex AI
• Supabase / PostgreSQL / pgvector
• AWS / GCP / Vercel
• AI observability and evaluation platforms

You do NOT need to be an astrologer. However, genuine curiosity about Vedic Astrology and the ability to understand a complex domain are highly valued.

Who We're Looking For

We are looking for someone who doesn't simply know how to call an AI API.

You should be someone who can ask:

"How can we make the AI better?"

You should enjoy experimenting, testing, debugging and improving AI systems.

You should be comfortable moving between code, APIs, prompts, data, models and product requirements.

A strong candidate will be curious, analytical, entrepreneurial and excited about building something from the ground up.

Experience

Preferred: 1–4 years of hands‑on experience in AI Engineering, Generative AI, Machine Learning, Backend Engineering or related fields.

Strong candidates with exceptional projects, GitHub work, research or demonstrated hands‑on Generative AI experience may also be considered regardless of conventional experience.

Why Join RetroGrade AI?

• Work on a real-world Generative AI product.
• Build AI systems used by real users.
• Work directly with LLMs and modern AI technologies.
• Opportunity to work at the intersection of AI + Vedic Astrology + conversational technology.
• High ownership and opportunity to influence product architecture.
• Work with an experienced team from the House of JOTHISHI.
• Opportunity to build technology for a global audience.