Provectus

Senior Software Engineer – Solutions Architect, Python, GenAI

Provectus

full-time

Posted on:

Location Type: Remote

Location: Serbia

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Job Level

Senior

Tech Stack

AWSDjangoDockerFlaskGoogle Cloud PlatformKubernetesMicroservicesNoSQLPythonReactSQLVue.js

About the role

  • 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

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
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonAI/ML integrationRESTful APIsOOPdesign patternsclean architectureperformance optimizationtesting practicesDockerKubernetes
Soft Skills
mentoringleadershipclient engagementtechnical directionrelationship building
Certifications
AWS CertificationClaude Code Certification