python developer for GenAI solutions

Provectus is a global AI and cloud consulting company helping enterprises turn artificial intelligence and data into production-ready business solutions. It designs, builds, and scales end-to-end AI/ML systems, data platforms, and cloud-native architectures, and works with foundation models as an official Anthropic partner.

• Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs;
• Implement and optimize RAG systems for production use cases;
• Design and build LLM-based and agentic AI solutions that address real client business challenges;
• Own the technical direction of client engagements from discovery through delivery;
• Support presales through discovery calls, technical proposals, scoping, and client-facing demos;
• Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice;
• Mentor engineers, lead code reviews, and share knowledge across the team;
• Build and maintain strong relationships with key client stakeholders as a trusted technical advisor.

• Full-stack mindset across AI, backend development, and cloud infrastructure;
• Daily experience using AI tools such as Claude Code, Copilot, or similar;
• Proactive and self-directed approach with end-to-end ownership of outcomes;
• B2+ English and comfort collaborating across distributed, multicultural teams;
• Experience owning client technical relationships, leading discovery, decomposing ambiguous requirements, presenting architecture, and challenging scope when it does not match timelines or budgets;
• Experience producing scoped, phased delivery plans with deliverables, dependencies, and risks;
• Experience with cost estimation and cloud architecture cost optimization;
• 7+ Years building and running production systems beyond demos and POCs;
• Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions;
• Strong Python proficiency, including OOP, design patterns, clean architecture, and performance optimization;
• Experience building RESTful APIs with FastAPI, Django REST, or Flask;
• Experience making and defending architectural trade-off decisions;
• Strong testing practices with pytest, mocking, and integration tests for AI systems;
• Experience with Docker and Kubernetes;
• Hands-on experience building production LLM-based applications and agentic workflows;
• Experience with LLM APIs such as OpenAI, Anthropic, or AWS Bedrock;
• Experience building and optimizing RAG systems;
• Understanding of LLM evaluation techniques and quality assurance approaches;
• Experience deploying and maintaining AI/ML models in production environments;
• Hands-on AWS experience, including SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar; GCP is considered;
• Experience with React or Vue;
• Nice to have: AWS and Claude Code certifications, Streamlit or Gradio, modern Python tooling, CI/CD pipelines, an additional language such as Go, Node.js, or Rust, front-end experience.

• Remote with flexible hours;
• Internal training programs with full support for AWS and other professional certifications;
• Access to the latest AI tools and premium subscriptions;
• Long-term B2B collaboration;
• Private medical insurance or a budget for medical needs;
• Paid sick leave, vacation, and public holidays;
• Equipment and all the tech needed for comfortable, productive work;
• Remote hiring is available in Serbia, Spain, Poland, Yerevan, and Tbilisi.