Artificial Intelligence Engineer

About the Role

We are seeking a highly skilled and innovative AI/ML Engineer to join our dynamic team at AiSensy. 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.

Key Responsibilities

• Design, develop, and deploy 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.
• 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.

Skills & Qualifications

• 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.
• Bachelor's degree in Computer Science or related field.
• Relevant work experience in AI/ML engineering.

What You'll Learn

In this role, you will have the opportunity to work with cutting-edge AI technologies and frameworks, and develop a deep understanding of how to design, develop, and deploy high-performance AI microservices. You will also learn about the latest advancements in RAG, embeddings, and vector databases, and how to integrate them into production-scale use cases.

Resume Tip

When applying for this role, be sure to highlight your experience with Python, FastAPI, and MongoDB, as well as your understanding of RAG, embeddings, and vector databases. Additionally, be prepared to provide specific examples of how you have applied AI/ML techniques to solve complex business challenges in the past.