Senior MLOps Engineer: AI Agents & RAG Pipelines

Acumenz Consulting

Reading (Berks County)

Vor Ort

USD 100.000 - 130.000

Vollzeit

14 Tage+

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Zusammenfassung

A technology consulting firm is seeking a skilled MLOps Engineer to design and implement multi-agent architectures, with a focus on cloud solutions and AI/ML workloads. This role requires a Bachelor’s degree in a relevant field, along with proven experience in building agentic systems and RAG pipelines. Strong skills in CI/CD, containerization, and communication are essential. Passion for Generative AI and collaboration with various teams will drive success in this position.

Qualifikationen

  • Proven experience building agentic systems (single or multi-agent) and RAG pipelines in production.
  • Strong cloud background for AI/ML workloads; familiarity with Bedrock or equivalent LLM platforms.
  • Knowledge of data governance and model accountability throughout MLOps/LLMOps lifecycle.

Aufgaben

  • Design multi-agent architectures for collaboration.
  • Build high-quality RAG with ingestion, evaluation and retrieval.
  • Productionize solutions on AWS leveraging various services.
  • Automate CI/CD, containerization, and infra-as-code practices.
  • Instrument telemetry and build dashboards for observability.
  • Collaborate with cross-functional teams and document designs.

Kenntnisse

Cloud background for AI/ML workloads
CI/CD skills
Containerization (Docker/Kubernetes)
Excellent communication
Problem-solving skills
Passion for Generative AI

Ausbildung

Bachelor's degree in computer science or equivalent experience

Tools

Dataiku
AWS services
Git
Docker
Kubernetes

Jobbeschreibung

A technology consulting firm is seeking a skilled MLOps Engineer to design and implement multi-agent architectures, with a focus on cloud solutions and AI/ML workloads. This role requires a Bachelor’s degree in a relevant field, along with proven experience in building agentic systems and RAG pipelines. Strong skills in CI/CD, containerization, and communication are essential. Passion for Generative AI and collaboration with various teams will drive success in this position.
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