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

Description

  • Build and optimize RESTful APIs and servers using FastAPI, Django REST, or Flask.
  • Implement and optimize Retrieval Augmented Generation (RAG) systems.
  • Profile and optimize Python code to improve performance.
  • Collaborate with ML engineers and product managers to deliver high-quality products.
  • Write clean, maintainable, and well-documented code.
  • Stay current with developments in Python and AI technologies and propose innovative solutions.
  • Develop and ship Python services and LLM features as part of day-to-day product delivery.

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 such as OpenAI, Anthropic, or AWS Bedrock.
  • Experience building RAG systems.
  • Experience with Docker and Kubernetes.
  • Understanding of microservices and event-driven architectures.
  • Experience with AWS services such as Lambda, ECS, Bedrock, S3, and SQS.
  • Proficiency with SQL (Postgres), NoSQL (DynamoDB, Redis), and vector databases.
  • Strong testing practices, including pytest, mocking, and integration tests for AI systems.
  • Experience with observability tools such as OpenTelemetry and structured logging.
  • English proficiency at Upper-Intermediate level or higher.
  • Excellent communication and problem-solving skills.
  • Nice to have: experience with agentic frameworks such as LangChain, LlamaIndex, LangGraph, or OpenAI Agents SDK.
  • Nice to have: familiarity with prompt engineering and management at scale.
  • Nice to have: experience with LLM evaluation frameworks such as RAGAS, custom metrics, or deepeval.
  • Nice to have: proficiency with AI-assisted development tools such as Claude Code, Cursor, or Copilot.
  • 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 another language such as Go, Node.js, or Rust.

Benefits

  • Internal training programs with full support for AWS and other professional certifications.
  • Access to the latest AI tools and premium subscriptions for daily work.
  • Long-term B2B collaboration.
  • 100% remote work with flexible hours.
  • Collaboration with an international, cross-functional team.
  • Comprehensive private medical insurance or a budget for medical needs.
  • Paid sick leave, vacation, and public holidays.
  • Equipment and all necessary tech for comfortable, productive work.
  • Special gifts for weddings, childbirth, and other personal milestones.

Interested in this position?

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