provectus - TechLead / Solutions Architect (Python & GenAI, AWS)
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 • Presales & Client Engagement • 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 • Python, AI & Cloud • 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 • 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 • 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)
Responsibilities
• 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
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
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT