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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer / GenAI Integration Engineer (Python/LLM/RAG): Building Generative AI solutions, backend services, REST integrations, and intelligent automation for enterprise platforms and CRM systems with an accent on LLMs, RAG, AI Agents, embeddings, and vector databases. Focus on integrating AI into enterprise environments, connecting distributed systems, and solving complex business-process automation challenges.
Location: Porto, Portugal; hybrid work with the Porto office and 3 days per week working from home
Company
hirify.global partners with organizations to drive digital transformation and build high-performing technology teams.
What you will do
Develop and implement Generative AI and Large Language Model solutions.
Design and develop Python backend applications and services.
Build and integrate REST APIs across systems and applications.
Implement RAG solutions, embeddings, vector databases, AI Agents, and intelligent automation.
Integrate AI solutions into enterprise platforms and CRM systems, including collaboration with technical and business teams.
Optimize and automate business processes through Artificial Intelligence technologies.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Professional software development experience, preferably in backend development.
Strong experience with Python and REST API development or integration.
Hands-on experience with LLMs and Generative AI using OpenAI, Azure OpenAI, Anthropic, or equivalent technologies.
Practical experience developing RAG solutions and AI Agents.
Knowledge of embeddings, vector databases, and Prompt Engineering.
Experience integrating different systems, applications, and services.
Strong analytical and problem-solving skills, independence, communication, teamwork, and the ability to quickly learn and adapt to new technologies and business environments.
Nice to have
Experience with SAP Cloud for Customer (C4C), enterprise systems integration projects, CRM platforms, or enterprise process automation.
Experience with Azure or AWS cloud platforms.
Knowledge of microservices architectures and distributed systems.
Experience with GenAI frameworks such as LangChain, LangGraph, or LlamaIndex.
Culture & Benefits
Technical guidance and continuous mentorship.
Participation in real-world projects for an international company operating in automotive and agricultural machinery sectors.
Collaborative environment focused on professional growth and career progression.
Hybrid work model based around the Porto office, including 3 days per week working from home.
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