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Anthropic Certified Software Engineer

1 month ago
North Macedonia, Serbia, Spain, Georgia, Poland, Armenia
Full-time
Senior
AI Engineer
Software Development
Apache Spark AWS AWS CDK CloudFormation Docker Generative AI GitHub Actions GitLab CI Kubernetes LLM Python React SQL Terraform Vue.js
Apply Now
Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 37

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 such as 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 in architecture, reviews, and delivery speed improvements.
  • Collaborate with client engineering teams, internal architects, and delivery leads across EU and US time zones.
  • Engage directly with enterprise clients and operate with a high degree of autonomy in a consulting model.

Requirements

  • Valid Anthropic certification at any level is required; applications without it will not be reviewed.
  • 7+ years of experience building and running production systems, not only demos or POCs.
  • Strong Python proficiency, including OOP, design patterns, clean architecture, and performance optimization.
  • Hands-on AWS experience with services relevant to the role.
  • Experience with analytical data pipelines using SQL or Spark.
  • Solid understanding of GenAI concepts, including prompt engineering, RAG, vector databases, embedding models, and LLM evaluation.
  • Experience making and defending architectural trade-off decisions.
  • B2 or higher English proficiency and comfort in client-facing technical discussions.
  • Autonomous working style with the ability to identify what needs doing and execute independently.
  • Preferred: experience with LangChain, LangGraph, AutoGPT, or similar agentic AI frameworks.
  • Preferred: container-based deployments with Docker and Kubernetes.
  • Preferred: CI/CD pipeline experience with GitHub Actions or GitLab CI.
  • Preferred: frontend exposure with React or Vue.
  • Preferred: AWS or Claude Code certifications in addition to Anthropic certification, or AWS Stratum.
  • Preferred: prior consulting or client-facing delivery experience.
  • Preferred: domain knowledge in Healthcare, Financial Services, or Retail AI.

Benefits

  • Production ownership from day one with real systems, real clients, and real accountability.
  • Access to the latest AI tools, including premium Claude, Bedrock, and internal Provectus tooling.
  • Remote-first work with flexible hours across your local time zone.
  • Long-term B2B engagement with a 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 an equivalent budget.
  • Paid sick leave, vacation, and public holidays.
  • Equipment and all the tech needed to work productively.

Interested in this position?

Apply directly on the company website

Apply Now

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