Provectus logo
Provectus

We help businesses leverage cloud, data, and AI to reimagine the way they operate, compete, and deliver customer value.

Tech Lead – Solutions Architect, Python, GenAI, AWS

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 501-1,000Since 2012H1B SponsorCompany SiteLinkedIn

Location

Ukraine

Posted

7 days ago

Salary

0

Seniority

Senior

Job Description

Tech Lead – Solutions Architect, Python, GenAI, AWS

Provectus

• 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

Job 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

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