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Senior AI/ML Engineer (GenAI, AWS)

1 day, 11 hours ago
North Macedonia, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Moldova, Montenegro
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Airflow Apache Spark AWS Azure CI/CD GCP Generative AI GitHub Actions GitLab CI Go Kafka Kubernetes LLM Machine Learning NLP Python REST API Rust TypeScript
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
501-1000
Founded 2010
View All Jobs 10

Description

  • Partner with Forward Deployed Engineers and Executives to translate client business problems into production AI solutions.
  • Build and deploy cloud-native GenAI, LLM-based, and agentic systems in customer environments.
  • Build and optimize production RAG systems.
  • Create evaluation harnesses before feature development and use findings to improve model reliability and failure modes.
  • Write production code across AI components, backend services, APIs, and data pipelines.
  • Deploy and operate systems on AWS, or GCP/Azure when required, using containers and CI/CD.
  • Implement LLMOps and AgentOps practices, including tracing, prompt/version management, regression testing, drift detection, and cost and latency monitoring.
  • Document systems, create runbooks, pair with client engineers during handover, and contribute reusable components to Provectus AI Blueprints.
  • Participate in architecture decisions, conduct code reviews, and mentor junior and mid-level AI engineers.

Requirements

  • 5+ years of software or ML engineering experience, including accountability for production systems.
  • Experience shipping production LLM applications and agentic workflows, rather than demos, POCs, or notebooks.
  • Strong AI/ML foundations and the ability to diagnose model failure modes.
  • Experience with agentic orchestration, including multi-step and graph-based workflows, tool use, state management, and partial-failure recovery.
  • Experience with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI, plus agent frameworks.
  • Experience building and optimizing production RAG systems.
  • Proficiency in Python and/or TypeScript, with full-stack capability across AI, backend development, and cloud infrastructure.
  • Hands-on production AWS experience, including services such as Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, or ECR; GCP or Azure experience is preferred.
  • Experience with cloud-native delivery, including containers, ECS or Kubernetes, infrastructure as code, and CI/CD for AI pipelines.
  • Experience owning evaluation suites for non-deterministic systems, model/agent monitoring, drift detection, and cost and latency optimization.
  • B2+ English, strong communication and problem-solving skills, and comfort working proactively in ambiguous, distributed environments.
  • Experience in financial services, insurance, or healthcare; consulting or customer-facing delivery; AWS or Claude Code certifications; MCP/A2A; GitHub Actions or GitLab CI; Go, TypeScript, Rust, Spark, Airflow, or Kafka are preferred.

Benefits

  • Remote-friendly work culture and long-term B2B collaboration.
  • Private medical insurance or a medical-needs budget.
  • Paid sick leave, vacation, and public holidays.
  • Training support for Claude, AWS, and other professional certifications, plus conference attendance.
  • Career development opportunities and access to the latest AI tools and premium subscriptions.
  • Work equipment and technology for a comfortable, productive setup.
  • Opportunity to work in small senior teams on enterprise AI deployments across LATAM, Europe, and North America.

Interested in this position?

Apply directly on the company website

Apply Now

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