Project Role : Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : Large Language Models
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

SUMMARY: We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the development of Data Agents powered by Agentic AI. The ideal AI enthusiast will play a key role in designing, implementing, and optimizing intelligent agents that can autonomously process data, interact with systems, and support business decision-making. ROLES AND RESPONSIBILITIES: • Design & Development: Build and deploy intelligent Data Agents using Agentic AI frameworks and Python-based development to enable autonomous decision-making. • Data Engineering: Implement scalable and efficient data pipelines leveraging Python/Py Spark to support AI-driven workflows and analytics. • AI/ML Integration: Apply advanced AI/ML concepts within Data Agents to enable automation, reasoning, and intelligent decision support. • Prompt Engineering: Develop and optimize prompts to improve performance of large language models (LLMs) and enhance agentic workflows. • Cross-functional Collaboration: Partner with product, data science, and engineering teams to identify business use cases and deliver AI-powered solutions. • Innovation & Enhancement: Continuously refine agent capabilities to improve adaptability, efficiency, and accuracy in dynamic business environments. TECHNICAL EXPERIENCE: • Min 2.5 years of professional experience in the required skills - having min 1 year of Gen AI experience • Proficiency in Python, Knowledge Graphs, and experience with Py Spark for data handling. • Foundational understanding of AI/ML concepts (e.g., supervised/unsupervised learning, NLP, LLMs). • Growth mindset and agility to adapt in a rapidly evolving AI landscape. • Experience with ETL/ELT pipelines. • Proficiency in different types of database modeling (relational, NoSQL, graph, etc.). • Experience building APIs (e.g., Fast API) and Server-Sent Events (SSE). • Knowledge of search technologies, including Elasticsearch, vectorization, and embeddings. • Experience developing modern frontends using Angular or React frameworks. • Design and build Data Agents leveraging Agentic AI frameworks and Python-based development. • Implement scalable data pipelines using Python/Py Spark to support AI-driven workflows. • Integrate AI/ML concepts into Data Agents for automation, reasoning, and decision support. • Apply prompt engineering techniques to optimize performance of LLMs and agentic workflows. • Collaborate with product, data science, and engineering teams to identify use cases and deliver AI-enabled solutions. • Continuously enhance agent capabilities to improve adaptability, accuracy, and efficiency. • Stay ahead of emerging technologies in Agentic AI, ML, and autonomous systems to drive innovation. • Strong problem-solving mindset, with the ability to build and adapt intelligent systems. • Excellent communication skills to articulate technical ideas to cross-functional teams. ADDITIONAL ATTRIBUTES: • Familiarity with LLMs and frameworks for building agentic workflows. • Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or Py Torch. • Understanding of cloud-based AI services (AWS SageMaker, Azure ML, GCP Vertex AI). EDUCATION QUALIFICATIONS: • A 15-year full-time education is required

15 years full time education

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