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Senior Software Engineer / Solutions Architect (Python & GenAI)

2 months ago
North Macedonia, Serbia, Spain, Poland, Armenia
Full-time
Senior
Software Engineer
Software Development
AWS Docker FastAPI Flask GCP Generative AI GitHub Actions GitLab CI Go Kubernetes LLM Machine Learning Microservices 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 25

Description

  • Write 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 trusted relationships with client stakeholders as a technical advisor.

Requirements

  • 7+ years of experience building and running production systems, not only 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.
  • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
  • 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.
  • Experience with Docker and Kubernetes.
  • Hands-on experience with AWS services such as SageMaker, Bedrock, Lambda, ECS, S3, SQS, or ECR; GCP is also considered.
  • B2+ English and comfort working across distributed, multicultural teams.
  • Full-stack mindset with comfort across AI, backend development, and cloud infrastructure.
  • Already using AI tools in 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, or SQL vs NoSQL.
  • Strong testing practices with pytest, mocking, and integration tests for AI systems.
  • 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.
  • Nice to have: AWS and Claude Code certifications.

Benefits

  • 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.
  • Internal training programs, including leadership and public speaking, with full support for AWS and other professional certifications.
  • Clear career growth path toward Solutions Architect or beyond.
  • Access to the latest AI tools and premium subscriptions.
  • 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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