Senior Python + GenAI Engineer
Encora Modena, Emilia-Romagna, Italy
IT Services and IT Consulting · 5,001-10,000 employees
About the role
The engineer will build and enhance AI assistant capabilities, including chatbots and complex multi-agent workflows using LLMs and RAG pipelines. They will also integrate enterprise APIs and implement observability frameworks to monitor and improve AI application performance.
What they look for
Requirements
Candidates must have 5+ years of professional software development experience with strong expertise in Python and Generative AI frameworks. Proficiency in RAG architectures, vector databases, and cloud environments like AWS is required, along with strong English communication skills.
Full description
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.
Required Skills & Qualifications
- 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.
Preferred 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.
Posted On: 13-08-2026
At Coforge, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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