We are seeking a highly skilled Senior Python Engineer with expertise in integrating AI-driven solutions into complex projects. The ideal candidate will have extensive experience in Python development, a deep understanding of AI/ML frameworks, and a proven track record in deploying and optimizing AI systems at scale. The role requires strong problem-solving abilities, collaboration with data scientists, and designing scalable, high-performance software solutions. Key responsibilities include building AI models, automating data pipelines, integrating APIs, and ensuring seamless collaboration across teams to drive innovation in AI-powered projects.

Responsibilities

AI Solution Development: design, develop, and implement AI-driven applications using Python and advanced AI/ML frameworks like DSPY, LangChain, LangGraph

• Deploy and optimize LLM models in production environments, ensuring scalability and performance.

• Vector Database Usage: Utilize and optimize vector databases to efficiently manage high-dimensional data in AI/ML applications.

• Automate Data Pipelines: Build and optimize automated data processing pipelines to support AI workflows, focusing on efficiency and scalability.

• API Development: Develop and integrate RESTful APIs to ensure seamless communication between AI systems and other software components.

• Performance Optimization: Continuously monitor and enhance AI system performance, troubleshooting issues to maintain high availability and efficiency.

• Environment Management: Facilitate the development and testing environments, ensuring they meet the needs of the development team.

• Operational Process Automation: Collaborate with software teams to automate and streamline operational processes, boosting productivity.

• Continuous Learning and Innovation: Stay up-to-date with AI, Cloud, and Python trends, recommending innovations to enhance productivity and efficiency.

Requirements

• Strong Python and AI/ML Experience: Proven experience in developing AI-driven applications using Python and frameworks like DSPY, LangChain, and LangGraph.

• LLM and Vector Database Expertise: Proficiency in deploying and optimizing LLMs in production, along with experience in using and optimizing vector databases.

• Data Pipeline and API Development: Solid experience in automating data pipelines and developing RESTful APIs for seamless system integration.

• System Optimization and Environment Management: Ability to monitor and optimize AI system performance and manage development/testing environments.

• Continuous Learning and Adaptability: A commitment to staying updated with the latest AI, Cloud, and Python trends, and applying them to enhance productivity.

Benefits

(Some benefits may only be available to our team in Bulgaria)

• Competitive salary and benefits package

• Opportunities for professional growth and career development.

• Dynamic and collaborative work environment

• Flexible work schedule and fully remote work

• 25 days of annual paid leave

• Additional health insurance via UNIQA

• MultiSport card