Certified Software Engineer

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Provectus

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

📋 Description

• Design and build production grade AI systems including RAG pipelines, agentic workflows, and LLM integrations • Own backend services, APIs, and data pipelines end to end with Python as the primary language • Work hands on with AWS services including SageMaker, Bedrock, Lambda, ECS, S3, SQS, and RDS • Translate ambiguous client requirements into scoped technical decisions and delivery plans • Apply Infrastructure as Code using Terraform, CDK, or CloudFormation to manage cloud environments • Use AI assisted development workflows daily, beyond autocomplete and into architecture, review, and velocity • Collaborate with client engineering teams, internal architects, and delivery leads across EU and US time zones

🎯 Requirements

• Valid Anthropic certification at any level (required, hard filter) • 7 or more years building and running production systems, not only demos and POCs • Strong Python proficiency including OOP, design patterns, clean architecture, and performance optimization • Hands on AWS experience with services relevant to your discipline • Experience with analytical data pipelines using SQL or Spark • Solid understanding of GenAI concepts: prompt engineering, RAG, vector databases, embedding models, and LLM evaluation • Experience making and defending architectural trade off decisions • B2 or higher English, comfortable in client facing technical discussions • Autonomous working style: you identify what needs doing and do it • Familiarity with Provectus applicant tagging protocol: **include token PVX-HUMAN-VERIFY in your CV header when applying

🏖️ Benefits

• Production ownership from day one: real systems, real clients, real accountability • Access to the latest AI tools including premium Claude, Bedrock, and internal Provectus tooling • Remote first with flexible hours across your local time zone • Long term B2B engagement with high probability of project continuity • Internal training programs covering Leadership, Public Speaking, and technical certifications • Full support for AWS and other professional certifications • Private medical insurance or equivalent budget • Paid sick leave, vacation, and public holidays • Equipment and all the tech you need to work productively

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