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Sr. Python Engineer - State-of-the-art AI Agents
Job Description
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
Requirements
- 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
Benefits
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.