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TechLead / Solutions Architect (Python & GenAI, AWS)

1 month, 1 week ago
Serbia, Slovakia, Slovenia, Spain, Poland, Ukraine, Armenia
Full-time
Lead
AI Engineer
Software Development
AWS Docker FastAPI Flask GCP Generative AI GitHub Actions GitLab CI Go Kubernetes LLM Microservices Node.js Pytest Python React REST API Rust SageMaker SQL Vue.js
Apply Now
Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 37

Description

  • Write clean, production-grade Python for 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 for client business challenges.
  • Own the technical direction of client engagements from discovery through delivery.
  • Support presales activities including discovery calls, technical proposals, scoping, and client demos.
  • Lead architecture reviews and produce technical design documents.
  • Contribute to standards across the Python practice.
  • Mentor engineers, lead code reviews, and share knowledge across the team.
  • Build and maintain strong relationships with 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, including 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 such as microservices vs monolith, sync vs event-driven, and SQL vs NoSQL.
  • Strong testing practices, including 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 such as OpenAI, Anthropic, or AWS Bedrock.
  • Experience with AWS services such as SageMaker, Bedrock, Lambda, ECS, S3, SQS, and ECR, with GCP considered.
  • B2+ English and comfort collaborating across distributed, multicultural teams.
  • Full-stack mindset with comfort across AI, backend development, and cloud infrastructure.
  • Already using AI tools in the daily workflow, such as Claude Code, Copilot, or similar.
  • Proactive, self-directed ownership of outcomes end-to-end.
  • Experience with cost estimation and cloud architecture cost optimization.
  • Experience with React or Vue.
  • Experience with Streamlit or Gradio for AI prototyping is nice to have.
  • Modern Python tooling experience such as ruff, uv, pyproject.toml, and pyright is nice to have.
  • CI/CD pipeline experience with GitHub Actions or GitLab CI is nice to have.
  • Experience in an additional language such as Go, Node.js, or Rust is nice to have.
  • Front-end experience is nice to have.
  • AWS and Claude Code certifications are nice to have.

Benefits

  • Opportunity to work with cutting-edge AI and cloud solutions.
  • Internal training programs, including leadership and public speaking, with full support for AWS and other professional certifications.
  • Clear career growth path toward SA or beyond.
  • Access to the latest AI tools and premium subscriptions.
  • Long-term B2B collaboration.
  • Remote work with flexible hours.
  • Private medical insurance or a budget for medical needs.
  • Paid sick leave, vacation, and public holidays.
  • Equipment and all the tech needed for comfortable, productive work.

Interested in this position?

Apply directly on the company website

Apply Now

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