Nuri Management Pte Ltd
Forward Deployed Engineer
Skills
22 days ago
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Important information
Contract type:
Permanent
Work mode:
Onsite
Published on:
29 September 2026
What they need
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
o BS or MS in Computer Science or closely-related field.
o 2 to 3+ years of relevant industry experience or equivalent
o Direct experience shipping an AI or agentic AI system end-to-end to users, preferably owned or led the project
o Excellent communication skills, particularly in communicating technical concepts in an approachable way to clients
o Proficiency in Python
o Strong production maturity and system design skills
o Familiarity with agentic tooling and development, including Model Context Protocols (MCPs), agent skills, agent orchestration, Retrieval Augmented Generation (RAG), etc.
o Experience designing evals, observability and monitoring for AI, plus debugging failure modes in production
o Knowledge of enterprise security best practices to securely deploy AI and software
o Proficiency in building data pipelines and API integrations
o Familiarity with cloud platform (AWS (preferred)/Azure/GCP), infrastructure as code, containerization
o Passion for experimenting with AI models, open-source repos, etc.
o Knowledge of latest developments in AI capabilities and deployment strategies
Good to have
o Experience deploying AI in a specific vertical or business use case
o Ability to identify and articulate business value from AI deployments — including ROI framing, process mapping, and stakeholder alignment
o Familiarity with enterprise software ecosystems, including Oracle SAP, Microsoft, etc.
o Proficiency in additional languages, such as TypeScript, SQL, Java, Go
o Familiarity with data privacy practices for AI
o Experience with on-device or on-prem data management or AI deployment.
o Familiarity with ML frameworks such as PyTorch, TensorFlow, etc.
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