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

  • Design and build cloud-native data, LLM-based, and agentic AI solutions for client business challenges.
  • Implement and optimize RAG systems for production use cases.
  • Build and maintain relationships with key customer stakeholders as a trusted technical advisor.
  • Support presales activities including discovery calls, technical proposals, scoping, and client demos.
  • Own the technical direction of client engagements from discovery through delivery.
  • Write production-grade Python for AI integrations, backend services, and RESTful APIs.
  • Build and maintain ETL/ELT workflows using orchestration and distributed computing tools.
  • Deploy ML and LLM-based solutions in production environments.
  • Implement MLOps, LLMOps, and AgentOps practices including CI/CD, testing, monitoring, and experiment tracking.
  • Lead architecture reviews, produce technical design documents, mentor engineers, and lead code reviews.

Requirements

  • 7+ years building and running production systems.
  • Hands-on experience building production LLM-based applications and agentic workflows.
  • Experience integrating AI/ML components into solutions.
  • Experience with LLM APIs such as OpenAI, Anthropic, or AWS Bedrock.
  • Experience building and optimizing RAG systems.
  • Strong Python skills, including OOP, design patterns, clean architecture, and performance optimization.
  • Experience building RESTful APIs with FastAPI, Django REST, or Flask.
  • Experience with Docker and Kubernetes.
  • Hands-on experience with AWS services such as Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, and ECR; GCP is considered.
  • B2+ English and comfort collaborating across distributed, multicultural teams.
  • Experience with cost estimation and cloud architecture cost optimization.
  • Understanding of LLM evaluation, quality assurance, CI/CD for ML/AI pipelines, model monitoring, observability, and drift detection.
  • Preferred: AWS and Claude Code certifications, CI/CD tools like GitHub Actions or GitLab CI, additional language experience such as Go, Node.js, or Rust, and hands-on experience with Apache Spark, Apache Airflow, or Kafka.

Benefits

  • 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 support for AWS and other certifications.
  • Clear career growth path toward SA or beyond.
  • Access to the latest AI tools and premium subscriptions.
  • Long-term B2B collaboration.
  • Equipment and other tech needed for productive work.

Interested in this position?

Apply directly on the company website

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