AI Deployment Engineer
Location: Remote / Global
Company: Monobot.ai
Type: Full-time
About Us
At Monobot.ai
, weβre building the next generation of AI-driven automation tools that help
businesses integrate intelligent agents into real-world workflows. Our mission
is to bridge the gap between cutting-edge AI research and practical, scalable
deployment.
Weβre looking for an AI Deployment Engineer who will play a key role in
implementing, optimizing, and maintaining AI systems in production
environments for our clients and internal projects.
Responsibilities
Deploy and manage AI/ML models across various environments (cloud, edge, or
hybrid setups).
Work closely with data scientists and software engineers to integrate AI
components into production systems.
Design scalable inference pipelines and monitor system performance.
Automate deployment processes and CI/CD pipelines for AI workloads.
Collaborate with DevOps and infrastructure teams to ensure reliability and
robustness of deployed systems.
Troubleshoot, optimize, and improve latency, throughput, and model performance
in production.
Maintain strong documentation and ensure compliance with data and security
standards.
Requirements
3+ years of experience in software engineering, DevOps, or ML engineering.
Strong proficiency with Python and experience in containerization (Docker,
Kubernetes).
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Experience deploying machine learning models using frameworks such as
TensorFlow, PyTorch, or ONNX.
Knowledge of CI/CD pipelines and infrastructure-as-code tools (Terraform,
Helm, etc.).
Understanding of MLOps concepts and best practices for AI deployment and
monitoring.
Excellent communication skills and ability to work in a fast-paced,
collaborative environment.
Nice to Have
Experience with model serving frameworks (e.g., FastAPI, TorchServe, BentoML).
Familiarity with monitoring tools (Prometheus, Grafana, ELK Stack).
Background in AI/ML performance optimization and distributed computing.
Interest in LLM-based systems and agentic AI architectures.
Why Join Us
Work with a team passionate about AI innovation and real-world impact.
Flexible work environment with global collaboration.
Opportunity to shape the future of AI deployment practices.
Competitive compensation and growth potential.
π© Apply now!
Send your CV and a short introduction to
[[email protected]](mailto:[email protected])
or visit <https://monobot.ai>
to learn more about us.