Job Description

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




15 years full time education