Anthropic Certified Software Engineer

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About the Role
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.

We are scaling our engineering bench and looking for senior technical engineers across multiple disciplines: Python and GenAI, Platform and Generalist, ML Systems, and Cloud Infrastructure.

This is not a POC role. You will own production systems, engage directly with enterprise clients, and operate with a high degree of autonomy inside a consulting model.

MANDATORY REQUIREMENT: A valid Anthropic certification at any level is required to apply. Applications without one will not be reviewed.

What You Will Do

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

What You Will Bring

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

Nice to Have

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

What We Offer

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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