Forward Deployed Engineer

Nuri Management Pte Ltd; Santo Niño 1st; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Nuri Management Pte Ltd is seeking a Forward Deployed AI Engineer to architect and deploy production AI systems for client engagements. You will own end-to-end delivery, from model integration to monitoring, with focus on reliability and security.

The role requires strong Python, cloud familiarity, and experience shipping agentic AI; you will collaborate with clients to design solutions that create measurable business value and ROI.

Qualifications

• BS or MS in Computer Science or closely-related field.
• 2 to 3+ years of relevant industry experience or equivalent.
• Direct experience shipping an AI or agentic AI system end-to-end to users, preferably owned or led the project.
• Excellent communication skills, particularly in communicating technical concepts in an approachable way to clients.
• Proficiency in Python.
• Strong production maturity and system design skills.
• Familiarity with agentic tooling and development, including Model Context Protocols (MCPs), agent skills, agent orchestration, Retrieval Augmented Generation (RAG), etc.
• Experience designing evals, observability and monitoring for AI, plus debugging failure modes in production.
• Knowledge of enterprise security best practices to securely deploy AI and software.
• Proficiency in building data pipelines and API integrations.
• Familiarity with cloud platform (AWS (preferred)/Azure/GCP), infrastructure as code, containerization.
• Passion for experimenting with AI models, open-source repos, etc.
• Knowledge of latest developments in AI capabilities and deployment strategies.

Responsibilities

• Architect and develop production AI / agentic systems optimized for business use cases, including agent infrastructure and integrations with client infrastructure
• Manage AI product development roadmap
• Rapid testing and evaluation of agentic systems, including reliability engineering, performance measurement and cost management
• Continuously interface with clients to understand areas for transformation and codesign AI and security best practices

Skills

Python

AI systems

Communication

System design

MCPs

RAG

Cloud platforms

AWS

Containerization

Data pipelines

API integrations

Security best practices

Observability

Debugging production

Education

BS in CS

MS in CS

Tools

PyTorch

TensorFlow

Job description

Job Description

As our Forward Deployed AI Engineer, your main responsibilities will include:

• Architect and develop production AI / agentic systems optimized for business use cases, including agent infrastructure and integrations with client infrastructure
• Manage AI product development roadmap
• Rapid testing and evaluation of agentic systems, including reliability engineering, performance measurement and cost management
• Continuously interface with clients to understand areas for transformation and codesign AI and security best practices

Required experience and qualifications

• BS or MS in Computer Science or closely-related field.
• 2 to 3+ years of relevant industry experience or equivalent
• Direct experience shipping an AI or agentic AI system end-to- end to users, preferably owned or led the project
• Excellent communication skills, particularly in communicating technical concepts in an approachable way to clients
• Proficiency in Python
• Strong production maturity and system design skills
• Familiarity with agentic tooling and development, including Model Context Protocols (MCPs), agent skills, agent orchestration, Retrieval Augmented Generation (RAG), etc.
• Experience designing evals, observability and monitoring for AI, plus debugging failure modes in production
• Knowledge of enterprise security best practices to securely deploy AI and software
• Proficiency in building data pipelines and API integrations
• Familiarity with cloud platform (AWS (preferred)/Azure/GCP), infrastructure as code, containerization
• Passion for experimenting with AI models, open-source repos, etc.
• Knowledge of latest developments in AI capabilities and deployment strategies

Good to have

• Experience deploying AI in a specific vertical or business use case
• Ability to identify and articulate business value from AI deployments — including ROI framing, process mapping, and stakeholder alignment
• Familiarity with enterprise software ecosystems, including Oracle SAP, Microsoft, etc.
• Proficiency in additional languages, such as TypeScript, SQL, Java, Go
• Familiarity with data privacy practices for AI
• Experience with on-device or on-prem data management or AI deployment.
• Familiarity with ML frameworks such as PyTorch, TensorFlow, etc.