Senior MLOps Engineer: AI Agents & RAG Pipelines

Acumenz Consulting; Reading (Berks County); On-site; USD 100,000 - 130,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Cloud background for AI/ML workloads

CI/CD skills

Containerization (Docker/Kubernetes)

Excellent communication

Problem-solving skills

Passion for Generative AI

Education

Bachelor's degree in computer science or equivalent experience

Tools

Dataiku

AWS services

Git

Docker

Kubernetes

Job description

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.