Python Solutions Architect, GenAI

🔥 16 hours ago

🌐 Serbia, Spain, +3 more countries – Remote

🇷🇸 Serbia – Remote 🇪🇸 Spain – Remote 🇵🇱 Poland – Remote 🇦🇲 Armenia – Remote 🇬🇪 Georgia – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Provectus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

📋 Description

• 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: 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

🎯 Requirements

• Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure • Already using AI tools in your daily workflow (Claude Code, Copilot, or similar) • Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you • B2+ English, comfortable collaborating across distributed, multicultural teams • Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget • Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks • Experience with cost estimation and cloud architecture cost optimization • 7+ years building and running production systems not only demos and POCs • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions • Strong Python proficiency: 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: microservices vs monolith, sync vs event-driven, SQL vs NoSQL • Strong testing practices: 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 (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 experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered • Experience with React/Vue • AWS and Claude Code Certifications • Experience with Streamlit or Gradio for AI prototyping • Modern Python tooling (ruff, uv, pyproject.toml, pyright) • CI/CD pipeline experience (GitHub Actions, GitLab CI) • Experience in an additional language (Go, Node.js, or Rust) • Front-end experience

🏖️ Benefits

• Opportunity to work with cutting-edge AI and cloud solutions • Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications • Career growth: a clear path toward SA or beyond; we actively develop our engineers • Access to the latest AI tools and premium subscriptions • Long-term B2B collaboration • Remote with flexible hours • Private medical insurance or a budget for your medical needs • Paid sick leave, vacation, and public holidays • Equipment and all the tech you need for comfortable, productive work