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Artificial Intelligence Engineer

2 weeks ago

Gurgaon, Haryana, India AiSensy Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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.