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 100,000+ Businesses with WhatsApp Engagement & Marketing
• 400Crores + 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

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.