
Certified Software Engineer
Posted Jun 16

Posted Jun 16
This is a fully remote position, open to applicants in Serbia.
• Design and develop production-quality AI systems, encompassing RAG pipelines, agentic workflows, and LLM integrations.
• Take full ownership of backend services, APIs, and data pipelines from start to finish, utilizing Python as the primary programming language.
• Engage directly with AWS services such as SageMaker, Bedrock, Lambda, ECS, S3, SQS, and RDS.
• Convert vague client specifications into clearly defined technical decisions and delivery strategies.
• Implement Infrastructure as Code using Terraform, CDK, or CloudFormation to effectively manage cloud environments.
• Utilize AI-assisted development workflows on a daily basis, extending beyond mere autocomplete to include architecture, reviews, and speed enhancement.
• Collaborate with engineering teams from clients, internal architects, and delivery leaders across both EU and US time zones.
• Active Anthropic certification at any level (mandatory, strict requirement).
• A minimum of 7 years of experience in building and maintaining production systems, not limited to demos and proofs of concept.
• Proficient in Python, including expertise in OOP, design patterns, clean architecture, and performance optimization.
• Practical experience with AWS services pertinent to your area of expertise.
• Background in constructing analytical data pipelines utilizing SQL or Spark.
• Strong grasp of GenAI principles: including prompt engineering, RAG, vector databases, embedding models, and LLM assessment.
• Proven ability to make and justify architectural trade-off decisions.
• B2 level English or above, comfortable engaging in client-facing technical dialogues.
• Self-sufficient working style: you recognize tasks that need attention and take initiative to address them.
• Knowledge of the Provectus applicant tagging protocol: **include token PVX-HUMAN-VERIFY in your CV header when applying.
• Ownership of production systems from day one: dealing with real systems, real clients, and real accountability.
• Access to cutting-edge AI tools, including premium Claude, Bedrock, and proprietary Provectus resources.
• Remote-first work culture with flexible hours tailored to your local time zone.
• Long-term B2B collaboration with a strong likelihood of project continuity.
• Internal training initiatives covering areas such as Leadership, Public Speaking, and technical certifications.
• Comprehensive support for AWS and other professional certifications.
• Private medical insurance or an equivalent budget.
• Paid sick leave, vacation, and public holidays.
• Provision of essential equipment and technology to ensure productive work.
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