Senior Python Engineer (GenAI & LLM Orchestration)

• Design and ship high-performance Python services and GenAI features, including RAG pipelines, agents, and tool-calling on a daily basis
• Architect and optimize RESTful APIs using frameworks such as FastAPI, ensuring sub-second latency for complex AI-driven products
• Own the entire product lifecycle from idea to production, working within autonomous pods where you lead the architecture alongside DevOps and UX teams
• Collaborate with cross-functional teams, including ML and Data engineers, to transform raw data into intelligent business value
• Stay updated with the latest developments in Python and AI technologies, proactively proposing and implementing innovative solutions to keep the product ahead of the curve, * Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications
• Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work
• Long-term B2B collaboration
• 100% remote with flexible hours
• Collaboration with an international, cross-functional team
• Comprehensive private medical insurance or budget for your medical needs
• Paid sick leave, vacation, and public holidays
• Equipment and all the tech you need for comfortable, productive work
• Special gifts for weddings, childbirth, and other personal milestones

Do you have experience in Scala?, We are looking for a highly skilled Senior Python Developer with experience in generative AI to join our team. We build AI-driven products, where you'll develop and ship Python services and LLM features (including RAG, tools, and agents) on a daily basis - while leveraging AI across your entire workflow, from development to delivery. If you have a passion for AI and experience in building innovative solutions, we would love to hear from you., * Strong proficiency in Python programming with 5+ years of experience

• Solid understanding of object-oriented programming (OOP) and software design patterns
• Hands-on production experience in building GenAI features, specifically RAG architectures and LLM orchestration
• Experience in building RESTful APIs and servers with frameworks like FastAPI, Django REST, or Flask
• Experience with Docker for containerization and Kubernetes for orchestration in microservices environments
• Experience with AWS and serverless computing
• Versatile engineering mindset with a high level of proactivity and ownership
• Proficiency in both SQL and NoSQL databases, such as Postgres and DynamoDB
• Strong knowledge of testing frameworks like PyTest, UnitTest, or others
• English level - strong Intermediate or higher with excellent communication and problem-solving skills, * Hands-on experience with other languages in a polyglot environment, such as Node.js, Java, Scala, Go, Ruby, or Rust
• Relevant AWS certifications (e.g., Solutions Architect, Developer, or DevOps)
• Familiarity with vector databases and data engineering tools like Airflow, Snowflake, or Databricks
• Experience with CI/CD pipelines and cloud-native automation
• Experience in building chatbot applications or complex agentic workflows