Anthropic Certified Software Engineer

• 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, * 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

Do you have experience in Terraform?, MANDATORY REQUIREMENT: A valid Anthropic certification at any level is required to apply. Applications without one will not be reviewed., * 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, * Experience with LangChain, LangGraph, AutoGPT, or similar agentic AI frameworks

• Container based deployments with Docker and Kubernetes

• CI/CD pipeline experience with GitHub Actions or GitLab CI

• Frontend exposure with React or Vue

• AWS or Claude Code certifications in addition to Anthropic certification

• Prior consulting or client facing delivery experience

• Domain knowledge in Healthcare, Financial Services, or Retail AI

Pulled from the full job description

• Flexible schedule

Provectus is a consulting and professional services firm with a focus on AI and ML based solutions. We are an AWS Premier Consulting Partner, featured in Forrester's AI Technical Services Landscape, and a strategic partner of Anthropic. We build custom, production grade AI for global enterprises across Healthcare and Life Sciences, Financial Services, Retail, and Entertainment.