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

  • Develop and ship Python services and LLM features (including tools and agents) as part of AI-driven products.
  • Design, build, and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask.
  • Implement and optimize Retrieval Augmented Generation (RAG) systems and related retrieval components.
  • Profile, benchmark, and optimize Python code and system performance.
  • Collaborate with cross-functional teams (ML engineers, product managers, etc.) to deliver high-quality products.
  • Write clean, maintainable, well-documented code and follow modern development practices.
  • Leverage AI tools across the development workflow, from prototyping to delivery and testing.
  • Stay updated with developments in Python and AI technologies and propose innovative solutions and improvements.

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) and building RAG systems.
  • Experience with Docker and Kubernetes and understanding of microservices and event-driven architectures.
  • Experience with AWS services (Lambda, ECS, Bedrock, S3, SQS).
  • Proficiency with SQL (Postgres), NoSQL (DynamoDB, Redis), and vector databases.
  • Strong testing and observability practices (pytest, mocking, integration tests for AI systems, OpenTelemetry, structured logging).
  • English: Upper-Intermediate or higher, with excellent communication and problem-solving skills.
  • Nice-to-have: experience with agentic frameworks (LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK), prompt engineering and management, LLM evaluation frameworks (RAGAS, deepeval), AI-assisted development tools (Claude Code, Cursor, Copilot), Streamlit/Gradio, modern Python tooling (ruff, uvicorn, pyproject.toml, pyright), CI/CD (GitHub Actions, GitLab CI), or another language (Go, Node.js, Rust).

Benefits

  • Internal training programs (Leadership, Public Speaking, etc.) 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 medical budget.
  • Paid sick leave, vacation, and public holidays.
  • Equipment and necessary tech provided, plus special gifts for weddings, childbirth, and other personal milestones.

Interested in this position?

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