About Provectus
Provectus is a global AI and cloud consulting company helping enterprises turn artificial intelligence and data into production-ready business solutions. We specialize in designing, building, and scaling end-to-end AI/ML systems, data platforms, and cloud-native architectures, with strong expertise in AWS, MLOps, and enterprise-grade AI delivery. We are an official Anthropic partner, working with cutting-edge foundation models to help organizations safely and effectively adopt advanced AI capabilities. Our consulting teams operate across industries such as finance, healthcare, retail, and technology.
Role 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
What We Offer
- 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
Requirements
Mindset * 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 * 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
Nice to Have * 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
