Sobre

• Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
• Role Overview
• We are seeking an experienced Engineer (5+ years of experience) with strong Python scripting skills and hands-on experience working exclusively with Large Language Models (LLMs) and state-of-the-art (SOTA) agent-based systems. The ideal candidate has built, experimented with, and scaled LLM-driven solutions, and is comfortable working with web scraping and data ingestion pipelines to support AI applications.
• Duration: 6+ months
• Commitment: 40h/week, 4h/day overlap with PST
• Model: Contract, time and material
• Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico
• Interview Process: Technical Interview with live coding challenge focused on Python (60 mins) + Technical/Cultural Interview
• Key Responsibilities
• Develop and maintain Python-based scripts and services for LLM- and agent-driven systems
• Design, build, and optimize SOTA LLM workflows and autonomous agent architectures
• Implement and maintain web scraping pipelines for structured and unstructured data collection
• Analyze, debug, and improve agent behavior, prompt logic, and system reliability
• Integrate LLM-based components into end-to-end application workflows
• Ensure code quality, performance, and maintainability of AI-focused systems
• Stay current with advancements in LLMs, agent frameworks, and applied AI techniques
• 5+ years of professional experience as a software engineer
• Strong proficiency in Python scripting and development
• Hands-on experience working primarily or exclusively with LLMs and SOTA agent systems
• Experience with web scraping, data extraction, and preprocessing
• Strong debugging, analytical, and problem-solving skills
• High attention to detail and code quality
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.