Anthropic Certified Software Engineer
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Role details
Tech stack
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Job 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, * 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
Requirements
Do you have experience in Terraform?, Do you have a Master’s degree?, 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
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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
About the company
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.
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