Onebyzero Hiring! Full Time FDE - AI in - Ricebowl

Forward Deployed Engineer: Agentic AI

OneByZero

Location: Singapore

Experience: 4 - 6 Years

About OneByZero

OneByZero is a Frontier Systems Integrator building agentic AI systems for leading banks,

telecommunications companies, insurers, and retailers across Asia Pacific. We work on high-impact

problems for institutions operating the financial and digital infrastructure of the region.

We operate exclusively on AWS and leverage partnership programmes that provide co-sell reach,

funded innovation opportunities, and delivery credibility across multiple markets. We value

individuals who are technically strong, delivery-focused, collaborative, and committed to solving

complex engineering challenges.

The Role

The Forward Deployed Engineer: Agentic AI designs, builds, and deploys production-grade

multi-agent systems within regulated enterprise environments.

This role is responsible for developing scalable AI applications, retrieval pipelines, orchestration

frameworks, APIs, observability tooling, and production infrastructure while working closely with

Architects, Delivery teams, and enterprise client stakeholders.

The role requires strong hands-on engineering capability, production delivery experience, and a

strong understanding of enterprise AI engineering practices.

At OBZ, all engineers are expected to use AI tools effectively in their daily work. AI assistants and

workflow automation tools are expected to improve engineering productivity, testing, debugging,

documentation, and delivery execution.

What You Will Do

Design and deliver production-grade multi-agent systems using orchestration

frameworks such as LangGraph, LangChain, CrewAI, or equivalent technologies.

Build and maintain end-to-end RAG pipelines including chunking strategies, embedding

evaluation, retrieval optimization, reranking, and hallucination evaluation.

Develop prompt frameworks, role instructions, escalation flows, and guardrail

mechanisms for enterprise AI applications.

Implement production-grade AI guardrails including PII redaction, input sanitization,

output validation, adversarial testing, and security controls.

Design and deploy AI systems within in-region and in-VPC enterprise environments using

AWS services and regulated deployment architectures.

Build and maintain FastAPI services, streaming APIs, authentication layers, React-based

interfaces, and enterprise integrations.

Deploy and manage workloads on ECS, EKS, SageMaker, Bedrock, API Gateway, and

related AWS infrastructure services.

Implement CI/CD pipelines, automated testing workflows, infrastructure automation,

observability tooling, and production monitoring frameworks.

Define and execute testing strategies including unit testing, integration testing, retrieval

testing, adversarial testing, and evaluation frameworks.

Contribute to architecture reviews, low-level designs, solution documentation, and

technical proposal responses.

Lead technical workstreams within engagements and support junior engineering team

members through reviews, debugging, and technical guidance.

Contribute reusable engineering assets including runbooks, prompt libraries, evaluation

frameworks, deployment templates, and tooling accelerators.

What We Are Looking For

4 - 6 years of experience in software engineering, AI engineering, cloud engineering, or

backend platform development.

Strong Python engineering capability with experience building production-grade backend

systems.

Hands-on experience building AI applications using LLM APIs, RAG systems, orchestration

frameworks, or multi-agent workflows.

Experience with LangGraph, LangChain, CrewAI, or similar agentic AI orchestration

frameworks.

Strong understanding of retrieval systems, embeddings, vector databases, reranking,

chunking strategies, and AI evaluation methodologies.

Experience deploying applications on AWS using services such as Bedrock, SageMaker,

ECS/EKS, API Gateway, Cognito, CloudWatch, IAM, Secrets Manager, and related services.

Strong understanding of DevSecOps practices including CI/CD, infrastructure automation,

testing frameworks, observability, and security hygiene.

Familiarity with React, Node.js, streaming APIs, and modern web application integration

patterns.

Understanding of enterprise AI risks including hallucinations, prompt injection, data

leakage, and operational guardrails.

Ability to work directly with client stakeholders, delivery teams, and architecture teams

in enterprise delivery environments.

Strong debugging, problem-solving, and engineering ownership capability.

What Sets You Apart

You have delivered production AI systems used by real users or enterprise environments.

You actively use AI tools to improve engineering productivity, debugging, testing, and

documentation quality.

You are comfortable troubleshooting production issues and improving system reliability.

You contribute reusable tooling, frameworks, or technical assets adopted across teams.

You combine strong engineering execution with effective stakeholder communication.

Travel and Location

OBZ clients are based across Southeast Asia, ANZ, and Japan. Travel and onsite engagement

requirements may vary depending on project needs. Relocation support may be considered based on

business requirements.

What Success Looks Like

Production AI systems operate reliably, securely, and within enterprise governance

expectations.

AI applications are scalable, observable, and maintainable within regulated enterprise

environments.

Your technical contributions strengthen delivery quality, engineering standards, and

reusable engineering assets across the firm.

You continue growing as a strong production AI engineer capable of handling increasingly

complex enterprise delivery challenges.

Language

Fluency in spoken and written English is required across all markets. Strong communication skills are

important for collaboration across engineering teams, delivery teams, and enterprise stakeholders.

Local language proficiency is considered an advantage, particularly in Japan, Vietnam, Thailand, and

the Philippines.

Certifications

AWS Certified Developer Associate, AWS Certified Solutions Architect Associate, or AWS Certified

Machine Learning Engineer Associate certifications are strongly valued.

What We Offer

Competitive compensation aligned to market standards. Opportunities to work on enterprise-scale AI

transformation programmes across Asia Pacific. Exposure to advanced AI tooling, AWS partnership

ecosystems, and regulated-industry AI engineering delivery.

OneByZero is an equal opportunity employer committed to building a diverse and inclusive

workplace.

Why OneByZero

OneByZero delivers production-scale agentic AI systems within some of the most complex enterprise

environments across Asia Pacific. The Forward Deployed Engineer: Agentic AI role provides the

opportunity to work on advanced AI engineering challenges, contribute to high-impact enterprise

systems, and build deep technical capability in production AI deliver

Pay: $7,000.00 - $11,000.00 per hour

Location:

• Singapore (Required)

Work Location: In person