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Senior Python Developer at Provectus | JobVerse
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Senior Python Developer
Provectus
Remote
Website
LinkedIn
Senior Python Developer
Serbia
Full Time
5 days ago
H1B Sponsor
Apply Now
Key skills
AWS
Django
Docker
DynamoDB
Flask
JavaScript
Kubernetes
Microservices
Node.js
NoSQL
Postgres
Python
Redis
Rust
SQL
Go
AI
ML
LLM
OpenAI
Claude
Anthropic
RAG
LangChain
LlamaIndex
Agentic
LangGraph
FastAPI
Pytest
GitHub Actions
GitLab CI
ECS
Lambda
S3
SQS
Bedrock
OpenTelemetry
RESTful
GitHub
GitLab
CI/CD
Leadership
Prototyping
Communication
Collaboration
About this role
Role Overview
Build and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask.
Implement and optimize Retrieval Augmented Generation (RAG) systems;
Profile and optimize Python code to enhance performance;
Collaborate with cross-functional teams, including ML engineers and product managers, to deliver high-quality products;
Write clean, maintainable, and well-documented code;
Stay updated with the latest developments in Python and AI technologies and propose innovative solutions.
Requirements
Strong proficiency in Python;
Solid understanding of OOP, design patterns, and clean architecture;
Experience building RESTful APIs with FastAPI, Django REST, or Flask;
Experience with LLM APIs
(OpenAI, Anthropic, or AWS Bedrock);
Experience building RAG systems;
Proficiency with AI-assisted development (Claude Code, Cursor, Copilot);
Experience with Docker and Kubernetes;
Understanding of microservices and event-driven architectures;
Experience with AWS (Lambda, ECS, Bedrock, S3, SQS);
Proficiency with SQL (Postgres), NoSQL (DynamoDB, Redis), and vector databases;
Strong testing practices: pytest, mocking, integration tests for AI systems;
Experience with observability tools (OpenTelemetry, structured logging);
English: Upper-Intermediate or higher;
Excellent communication and problem-solving skills. **
Nice to Have:
Experience with agentic frameworks (LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK);
Familiarity with prompt engineering and management at scale;
Experience with LLM evaluation frameworks (RAGAS, custom metrics, deepeval);
Experience with Streamlit or Gradio for AI prototyping;
Modern Python tooling (ruff, uv, pyproject.toml, pyright);
CI/CD pipeline experience (GitHub Actions, GitLab CI);
Experience in another language (Go, Node.js, Rust).
Tech Stack
AWS
Django
Docker
DynamoDB
Flask
JavaScript
Kubernetes
Microservices
Node.js
NoSQL
Postgres
Python
Redis
Rust
SQL
Go
Benefits
Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications;
Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work.
Long-term B2B collaboration;
100% remote — with flexible hours;
Collaboration with an international, cross-functional team;
Comprehensive private medical insurance or budget for your medical needs;
Paid sick leave, vacation, and public holidays;
Equipment and all the tech you need for comfortable, productive work;
Special gifts for weddings, childbirth, and other personal milestones.
Apply Now
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