Artificial Intelligence Engineer

About AiSensy

AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco., Wipro, Asian Paints, India Today Group Skullcandy, Vivo, Physicswallah, Cosco grow their revenues via WhatsApp.

Enabling 150,000+ Businesses with WhatsApp Engagement & Marketing

800Crores + WhatsApp Messages done between Businesses and Users via AiSensy per year

Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more

High Impact as Businesses drive 25-80% Revenues using AiSensy Platform

Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors

About the Role

We are seeking a highly skilled and innovative AI / ML Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

What You’ll Do

Build and maintain high-performance AI microservices using Python and FastAPI.

Develop and optimize Retrieval-Augmented Generation (RAG) systems for production-scale use cases.

Integrate AI features using Google Generative AI SDK and OpenAI SDK.

Work with vector databases to enable semantic search, embeddings retrieval, and real-time AI workflows.

Design and manage scalable data pipelines leveraging MongoDB for storing, indexing, and querying AI-related data.

Write clean, reusable, and maintainable code with strong focus on performance, latency, and reliability.

Collaborate with product managers, backend engineers, and AI teams to deliver impactful AI-driven features.

Participate in design and code reviews to uphold a high-quality engineering culture.

What We’re Looking For

Strong proficiency in Python and backend development.

Hands-on experience with FastAPI / Flask for building scalable APIs.

Solid understanding of RAG, embeddings, chunking strategies, and retrieval pipelines.

Experience integrating with Google Gen AI SDK and OpenAI SDK.

Fundamental understanding of how Transformers, CNNs, KNN, and other ML algorithms work

Familiarity with Vector Databases such as Pinecone, QDrant.

Experience with MongoDB for structured / unstructured data handling.

Knowledge of AI evaluation, hallucination control, and prompt optimization.

Understanding of API security, authentication, and data privacy principles.

Soft Skills

Strong problem-solving and experimentation abilities

Effective communication and collaboration with cross-functional teams

Ownership mindset — you care about product quality, reliability, and accuracy

Fast learner who thrives in a fast-paced, high-growth startup environment

Bonus / Good to Have :

Experience with LangChain, LlamaIndex, or similar LLM frameworks

Familiarity with multimodal models and fine-tuning workflows

Exposure to vector search optimization and hybrid retrieval methods

Understanding of distributed systems, caching, and LLM latency optimization

Basic understanding of CI / CD pipelines, Docker, or AWS for model deployment

Experience with Node.js for auxiliary services or integrations

Knowledge of Redis or other caching layers for optimizing retrieval and AI response latency