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.

Key Responsibilities

AI Model Development

Design, develop, and optimize AI solutions, including LLMs , RAG architectures , and Graph-based RAG systems , tailored to specific business needs.

Develop and fine-tune models for tasks such as Natural Language Processing (NLP) , Computer Vision , and Reinforcement Learning (RL) .

Prompt Engineering and AI Agents

Work with prompt optimization to enhance LLM-based responses for specific use cases.

Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention.

Data Processing and Management

Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation.

Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems.

Algorithm Selection and Optimization

Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements.

Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy.

Deployment and Integration

Deploy AI / ML models in production-grade environments , ensuring scalability, reliability, and seamless integration with existing systems.

Implement model monitoring pipelines to ensure performance consistency over time.

Research and Development

Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures , diffusion models , and multi-modal AI .

Experiment with emerging tools like LangChain , Hugging Face , and OpenAI APIs to innovate solutions.

Collaboration and Knowledge Sharing

Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions.

Document workflows, processes, and findings to enable knowledge sharing and continuity across teams.

Required Qualifications

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field.

Experience

Minimum 3+ years in AI / ML roles with a proven track record in building and deploying AI-driven solutions.

Technical Proficiency

Proficiency in Python and AI / ML frameworks like TensorFlow , PyTorch , scikit-learn , or Keras .

Experience working with LLMs , transformers , and generative AI tools .

Familiarity with cloud platforms such as AWS , Google Cloud , or Azure , including AI-focused services like SageMaker and Vertex AI.

Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems.

Analytical Expertise

Strong understanding of advanced statistical methods , mathematical concepts , and probabilistic models .

Ability to analyze and interpret data for actionable insights and model improvements.

Soft Skills

Exceptional problem-solving and critical-thinking abilities.

Strong communication skills to effectively collaborate with cross-functional teams.

Adaptability to a fast-paced, innovation-driven environment.

Preferred Qualifications

Hands-on experience with LangChain , Hugging Face Transformers , or OpenAI API integrations .

Expertise in specialized AI domains like multi-modal learning, conversational AI , and prompt engineering .

Contributions to open-source AI projects or publications in recognized AI / ML conferences or journals.

Familiarity with deploying AI Agents in production systems.