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Tech Lead / Solutions Architect (Python & GenAI)

8 hours, 15 minutes ago
Serbia, Spain, Georgia, Poland, Armenia
Full-time
Lead
Technical Lead
Software Development
AWS Docker FastAPI Flask GCP Generative AI GitHub Actions GitLab CI Go Kubernetes Microservices MLOps Node.js Pytest Python React REST API Rust SageMaker SQL Vue.js
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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 27

Description

  • Drive the technical direction of client engagements from discovery through delivery.
  • Own the solution architecture for GenAI-powered systems, including AI agents, RAG systems, and Python services.
  • Write clean, production-grade Python for AI integrations, backend services, and RESTful APIs.
  • Design and build LLM-based and agentic AI solutions that solve real client business problems.
  • Implement and optimize RAG systems for production use cases.
  • Support presales activities, including discovery calls, technical proposals, scoping, and client-facing demos.
  • Lead architecture reviews and produce technical design documents.
  • Mentor engineers, lead code reviews, and share knowledge across the Python practice.
  • Build and maintain trusted relationships with client stakeholders as a technical advisor.
  • Contribute to internal standards and best practices across the team.

Requirements

  • 7+ years of experience building and running production systems, not just demos or POCs.
  • Strong Python proficiency, including OOP, design patterns, clean architecture, and performance optimization.
  • Experience building RESTful APIs with FastAPI, Django REST, or Flask.
  • Hands-on experience building production LLM-based applications and agentic workflows.
  • Experience with LLM APIs such as OpenAI, Anthropic, or AWS Bedrock.
  • Experience building and optimizing RAG systems.
  • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
  • Experience deploying and maintaining AI/ML models in production environments.
  • Hands-on experience with AWS services such as SageMaker, Bedrock, Lambda, ECS, S3, SQS, and ECR, or similar cloud services; GCP is also considered.
  • Experience with Docker and Kubernetes.
  • Strong testing practices, including pytest, mocking, and integration tests for AI systems.
  • B2+ English and comfort collaborating across distributed, multicultural teams.
  • Full-stack mindset across AI, backend development, and cloud infrastructure.
  • Already using AI tools in the daily workflow, such as Claude Code, Copilot, or similar.
  • Experience with cost estimation and cloud architecture cost optimization.
  • Experience making and defending architectural trade-off decisions, such as microservices vs. monolith, sync vs. event-driven, and SQL vs. NoSQL.
  • Experience with React or Vue.
  • AWS and Claude Code certifications.
  • Nice to have: experience with Streamlit or Gradio for AI prototyping.
  • Nice to have: modern Python tooling such as ruff, uv, pyproject.toml, and pyright.
  • Nice to have: CI/CD pipeline experience with GitHub Actions or GitLab CI.
  • Nice to have: experience in an additional language such as Go, Node.js, or Rust.
  • Nice to have: front-end experience.

Benefits

  • Remote work with flexible hours.
  • Long-term B2B collaboration.
  • Private medical insurance or a budget for medical needs.
  • Paid sick leave, vacation, and public holidays.
  • Access to the latest AI tools and premium subscriptions.
  • 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.
  • 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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