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Senior AI/ML Engineer (GenAI, AWS)

1 day, 6 hours ago
Serbia, Slovakia, Slovenia, Spain, Poland, Ukraine, Armenia
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Airflow Apache Spark AWS Azure CI/CD GCP 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 a Forward Deployed Engineer and Forward Deployed Executive to deliver client AI solutions.
  • Build and ship cloud-native, LLM-based and agentic AI systems in customer environments.
  • Design, build, and optimize production RAG systems.
  • Create evaluation harnesses before feature development and use findings to improve failure modes.
  • Write production code across AI components, backend services, and data pipelines.
  • Integrate AI components with backend services and RESTful APIs.
  • Deploy and operate containerized AWS solutions with CI/CD, LLMOps, and AgentOps practices.
  • Implement tracing, prompt and version management, regression testing, drift detection, and cost and latency monitoring.
  • Document, hand over, and pair with client engineers; contribute reusable components and learnings to AI Blueprints.
  • Participate in architecture decisions, mentor engineers, conduct code reviews, and share knowledge through workshops and documentation.

Requirements

  • 5+ years of software or ML engineering experience with accountability for production systems.
  • Experience shipping production LLM applications and agentic workflows, beyond demos, POCs, or notebooks.
  • Strong AI/ML foundations and ability to reason about model failure modes.
  • Experience with agentic orchestration, including multi-step or graph-based workflows, tool use, state management, and partial-failure recovery.
  • Experience with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI, and with 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, 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 building or owning evaluation suites, model and agent monitoring, drift detection, and cost and latency optimization.
  • B2+ English and strong communication, problem-solving, ownership, and comfort with ambiguity.
  • 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, Rust, Spark, Airflow, or Kafka are preferred.

Benefits

  • Remote-friendly work culture.
  • Internal training and support for Claude, AWS, and other professional certifications, plus conference attendance.
  • Career development opportunities for engineers.
  • Access to current AI tools and premium subscriptions.
  • Long-term B2B collaboration.
  • Private medical insurance or a medical-needs budget.
  • Paid sick leave, vacation, and public holidays.
  • Work equipment and technology for productive remote work.

Interested in this position?

Apply directly on the company website

Apply Now

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