Senior Python + GenAI Engineer

Job Title: Senior Python + GenAI Engineer

Key Skills: Python, Generative AI, LLMs, RAG, Vector Databases, Multi-Agent Systems, APIs, Prompt Engineering, AWS, Angular

Experience: 5+ years of experience

Location: LATAM

Mode: Remote

We at Coforge are hiring a Senior Python + GenAI Engineer (22266) with the following skill set.

Key Responsibilities

• Build and enhance AI Assistant capabilities, including chatbots and AI-powered workflows.
• Develop Generative AI solutions using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines.
• Design and implement multi-turn conversational experiences and grounding logic.
• Develop and integrate APIs with payroll, time-off, HR, and other enterprise systems.
• Design and implement multi-agent AI systems to support complex business workflows.
• Collaborate with product and engineering teams to translate business requirements into scalable AI solutions.
• Implement observability and evaluation mechanisms to monitor and improve AI application performance.
• Contribute to prompt engineering, model evaluation, and continuous improvement of GenAI solutions.
  
  

• 5+ years of professional experience in software development, with strong expertise in Python.
• Hands-on experience developing solutions using LLMs and Generative AI frameworks.
• Practical experience with RAG architectures and vector databases.
• Strong experience developing and integrating APIs.
• Understanding of prompt engineering and LLM evaluation frameworks, including RAGAS or similar tools.
• Experience with multi-agent systems and AI-assisted workflows.
• Experience with observability and evaluation frameworks for AI applications.
• Understanding of conversational AI, grounding, and multi-turn interactions.
• Experience working with cloud environments, preferably AWS.
• Ability to collaborate effectively with product and engineering teams.
• Strong English communication skills.
  
  

• Exposure to Angular or other modern frontend technologies.
• Experience integrating AI solutions with enterprise HR, payroll, or business systems.
• Experience with advanced RAG techniques and vector search optimization.
• Familiarity with AI evaluation, monitoring, and observability best practices.
• Experience with cloud-native AI/ML architectures on AWS.