AiSensy - Artificial Intelligence Engineer - LLM/RAG

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 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 and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel 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 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 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 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 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 Qualifications :- Bachelors or Masters degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related :- Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven 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 Expertise :- Strong understanding of advanced statistical methods, mathematical concepts, and probabilistic models.- Ability to analyze and interpret data for actionable insights and model 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 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. (ref:hirist.tech)