Tech Lead – Solutions Architect, Python, GenAI, AWS

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Provectus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

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

• 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 (nice to have) • Modern Python tooling (ruff, uv, pyproject.toml, pyright) (nice to have) • CI/CD pipeline experience (GitHub Actions, GitLab CI) (nice to have) • Experience in an additional language (Go, Node.js, or Rust) (nice to have) • Front-end experience (nice to have)

🏖️ 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