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

AI/ML Engineer

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