Remotery

Certified Software Engineer

Posted Jun 16

This is a fully remote position, open to applicants in Serbia.

📋 Description

• 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.


⛳️ Requirements

• 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.


🏝️ Benefits

• 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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