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 , & 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.