Python Development Engineer – Generative AI New

Description

Job Summary: Design and develop end-to-end Generative Artificial Intelligence solutions using Python, implementing LLM-based architectures and integrating frameworks. Key Highlights: 1. Development of Generative AI solutions with Python 2. Implementation of LLM-based architectures 3. Monitoring and evaluation of Generative AI solutions NEORIS, now part of EPAM Systems, is a Digital Accelerator that helps companies step into the future, with over 20 years of experience as Digital Partners to some of the world’s leading companies. We are more than 4,000 professionals across 11 countries, with a multicultural, startup-style culture that fosters innovation, continuous learning, and the creation of high-impact solutions for our clients. **Python Development Engineer – Generative AI** Key Responsibilities: * Design and develop end\-to\-end Generative Artificial Intelligence solutions using Python, from conception through production deployment. * Implement LLM-based architectures, integrating frameworks such as Langchain and Langgraph. * Build RAG (Retrieval\-Augmented Generation) solutions, vectorization strategies, and orchestration of intelligent agents. * Integrate and manage multiple foundational models (OpenAI, Bedrock, Gemini, Vertex, or others). * Define and implement monitoring and performance evaluation strategies for Generative AI solutions (accuracy, traceability, response quality, usage metrics). * Apply advanced prompt engineering techniques and establish guardrails to ensure safety, robustness, and model alignment. ### **Requirements:** **Mandatory:** * 4\+ years of Python development experience. * 2\+ years of hands-on experience in Generative AI projects. * Proven experience in end\-to\-end development of Generative AI solutions deployed in production (minimum advanced PoCs). * Experience with frameworks such as Langchain and/or Langgraph. * Experience working with multiple LLMs (OpenAI, Bedrock, Gemini, Vertex, or others). * Experience in Cloud environments (AWS, GCP, or others) applied to Generative AI solutions. * Solid knowledge of RAG, vector databases, agent orchestration, and prompt engineering. * Experience in monitoring, evaluating, and continuously improving generative models. * Intermediate\-advanced English level (technical reading and documentation). **Desirable:** * Experience with serverless or microservices architectures. * Knowledge of MLOps applied to generative models. * Experience with automated LLM evaluation tools. * Cloud certifications (AWS or GCP). * Experience in Agile environments (Scrum/Kanban). ### **We Offer:** * Permanent contract with competitive salary. * Flexible work mode and possibility of remote work. * Personalized career plan and continuous training (certifications, English, etc.). * Participation in stable projects with strong technical components. * Flexible working hours and focus on work-life balance. * Social benefits tailored to your needs \#LI\-MM4