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
\n
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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