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AI Engineer
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AI Engineer

Gautam Rajesh Shelley's profile picture
Posted by Gautam Rajesh Shelley
4 - 7 yrs
Best in industry
Gurugram
Skills
Generative AI
Retrieval Augmented Generation (RAG)
Large Language Models (LLM) tuning
Large Language Models (LLM)
PyTorch
skill iconPython

Role Overview


We are seeking a highly skilled and innovative AI 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.


What We Offer

  • Competitive Compensation & Benefits aligned with your experience and the impact you bring.
  • Opportunity for Growth in a rapidly expanding B2B SaaS company.
  • Cutting-Edge Technology & Projects in the WhatsApp Business API and Click to WhatsApp Ads space.
  • Collaborative Work Environment that fosters innovation, learning, and career development.
  • Flexible & Inclusive Culture, where every team member has a voice and the chance to make a significant impact.
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About AiSensy

Founded :
2020
Type :
Product
Size :
20-100
Stage :
Profitable

About

About AiSensy


AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Skullcandy, Vivo, Rentomojo, Physicswallah, Cosco grow their revenues via WhatsApp.


  • Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing
  • 400cr+ WhatsApp Messages done between Businesses and Users via AiSensy
  • Working with top brands like Skullcandy, Vivo, Rentomojo, 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


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Tech stack

skill iconMongoDB
skill iconExpress
skill iconReact.js
skill iconNodeJS (Node.js)

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AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses grow their revenues via WhatsApp.

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Official Whatsapp Business APIs Based Marketing & Customer Support Platform. The One Platform your business needs to Broadcast, Automate Whatsapp Messages and Solve for Customer Support on Whatsapp.
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Gautam Rajesh Shelley
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