- Tanjong Pagar Central Region (Singapore) Singapore
Kerja Sepenuh Masa AI Engineer (FDE), Gaji tinggi SGD 15,000 di TechKnowledgey Pte Ltd Central Region (Singapore) - Maukerja
AI Engineer (FDE)
TechKnowledgey Pte Ltd
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
About the Company
Our client is a specialist systems integrator building agentic AI systems for major banks, telcos, insurers, and retailers across Asia Pacific. They work on high-impact problems for institutions running critical financial and digital infrastructure in the region.
They operate exclusively on AWS and benefit from strategic partnership programmes that provide co-sell reach, funded innovation opportunities, and delivery credibility across multiple markets. They value engineers who are technically strong, delivery-focused, collaborative, and committed to solving complex problems.
The Role
This Forward Deployed Engineer designs, builds, and deploys production-grade multi-agent systems within regulated enterprise environments — working closely with Architects, Delivery teams, and enterprise client stakeholders on scalable AI applications, retrieval pipelines, orchestration frameworks, APIs, observability tooling, and production infrastructure.
The role calls for strong hands-on engineering, production delivery experience, and solid enterprise AI engineering practices. All engineers are expected to use AI tools effectively to boost productivity across testing, debugging, documentation, and delivery.
What You Will Do
Design and deliver production-grade multi-agent systems using LangGraph, LangChain, CrewAI, or equivalent orchestration frameworks
Build and maintain end-to-end RAG pipelines (chunking, embedding evaluation, retrieval optimization, reranking, hallucination evaluation)
Develop prompt frameworks, role instructions, escalation flows, and guardrail mechanisms
Implement production-grade AI guardrails: PII redaction, input sanitization, output validation, adversarial testing, security controls
Design and deploy AI systems in-region/in-VPC using regulated AWS architectures
Build and maintain FastAPI services, streaming APIs, auth layers, React interfaces, and enterprise integrations
Deploy/manage workloads on ECS, EKS, SageMaker, Bedrock, API Gateway
Implement CI/CD, automated testing, infrastructure automation, observability, and monitoring
Define/execute testing strategies (unit, integration, retrieval, adversarial, evaluation)
Contribute to architecture reviews, low-level designs, solution docs, and proposal responses
Lead technical workstreams and mentor junior engineers
Build reusable engineering assets: runbooks, prompt libraries, evaluation frameworks, deployment templates
What They're Looking For
4–6 years in software engineering, AI engineering, cloud engineering, or backend platform development
Strong Python engineering for production-grade backend systems
Hands-on experience with LLM APIs, RAG systems, orchestration frameworks, or multi-agent workflows
Experience with LangGraph, LangChain, CrewAI, or similar
Strong grasp of retrieval systems, embeddings, vector databases, reranking, chunking, AI evaluation
AWS deployment experience: Bedrock, SageMaker, ECS/EKS, API Gateway, Cognito, CloudWatch, IAM, Secrets Manager
Strong DevSecOps understanding: CI/CD, infrastructure automation, testing, observability, security hygiene
Familiarity with React, Node.js, streaming APIs, modern web integration patterns
Understanding of enterprise AI risks: hallucinations, prompt injection, data leakage, guardrails
Ability to engage directly with client stakeholders and architecture teams
Strong debugging, problem-solving, ownership mentality
What Sets You Apart
Delivered production AI systems used by real users/enterprises
Active, effective use of AI tools in your own workflow
Comfortable troubleshooting production issues, improving reliability
Track record of building reusable tooling/frameworks adopted by teams
Strong engineering execution paired with stakeholder communication
Certifications (valued, not required)
AWS Certified Developer Associate, AWS Certified Solutions Architect Associate, or AWS Certified Machine Learning Engineer Associate
What's on Offer
Competitive, market-aligned compensation. Exposure to enterprise-scale AI transformation programmes across APAC, advanced AI tooling, AWS partnership ecosystems, and regulated-industry delivery experience. Equal opportunity employer.
HackerTrail is an award-winning hr tech and solutions company that is changing the status quo on recruitment. The recruitment industry is ripe with issues and old school ways of doing things, and we're disrupting this industry using our proprietary technology. We are a funded startup with talented team of 20+ people in 2 cities, and have served over 170 clients in 6 cities.
We have two flagship products:
1. Scout: an AI-powered canddate sourcing engine (*************)
2. Litmus: a gamified tech assessment engine (*************)
We also run a recruitment consultancy business which is widely recognized in Singapore as being one of the best in its category. (*************)
This is an opportunity to join a fast-paced company serving top tier clientele in multiple markets. Learn more about our team here: *************
Our client is a specialist systems integrator building agentic AI systems for major banks, telcos, insurers, and retailers across Asia Pacific. They work on high-impact problems for institutions running critical financial and digital infrastructure in the region.
They operate exclusively on AWS and benefit from strategic partnership programmes that provide co-sell reach, funded innovation opportunities, and delivery credibility across multiple markets. They value engineers who are technically strong, delivery-focused, collaborative, and committed to solving complex problems.
The Role
This Forward Deployed Engineer designs, builds, and deploys production-grade multi-agent systems within regulated enterprise environments — working closely with Architects, Delivery teams, and enterprise client stakeholders on scalable AI applications, retrieval pipelines, orchestration frameworks, APIs, observability tooling, and production infrastructure.
The role calls for strong hands-on engineering, production delivery experience, and solid enterprise AI engineering practices. All engineers are expected to use AI tools effectively to boost productivity across testing, debugging, documentation, and delivery.
What You Will Do
Design and deliver production-grade multi-agent systems using LangGraph, LangChain, CrewAI, or equivalent orchestration frameworks
Build and maintain end-to-end RAG pipelines (chunking, embedding evaluation, retrieval optimization, reranking, hallucination evaluation)
Develop prompt frameworks, role instructions, escalation flows, and guardrail mechanisms
Implement production-grade AI guardrails: PII redaction, input sanitization, output validation, adversarial testing, security controls
Design and deploy AI systems in-region/in-VPC using regulated AWS architectures
Build and maintain FastAPI services, streaming APIs, auth layers, React interfaces, and enterprise integrations
Deploy/manage workloads on ECS, EKS, SageMaker, Bedrock, API Gateway
Implement CI/CD, automated testing, infrastructure automation, observability, and monitoring
Define/execute testing strategies (unit, integration, retrieval, adversarial, evaluation)
Contribute to architecture reviews, low-level designs, solution docs, and proposal responses
Lead technical workstreams and mentor junior engineers
Build reusable engineering assets: runbooks, prompt libraries, evaluation frameworks, deployment templates
What They're Looking For
4–6 years in software engineering, AI engineering, cloud engineering, or backend platform development
Strong Python engineering for production-grade backend systems
Hands-on experience with LLM APIs, RAG systems, orchestration frameworks, or multi-agent workflows
Experience with LangGraph, LangChain, CrewAI, or similar
Strong grasp of retrieval systems, embeddings, vector databases, reranking, chunking, AI evaluation
AWS deployment experience: Bedrock, SageMaker, ECS/EKS, API Gateway, Cognito, CloudWatch, IAM, Secrets Manager
Strong DevSecOps understanding: CI/CD, infrastructure automation, testing, observability, security hygiene
Familiarity with React, Node.js, streaming APIs, modern web integration patterns
Understanding of enterprise AI risks: hallucinations, prompt injection, data leakage, guardrails
Ability to engage directly with client stakeholders and architecture teams
Strong debugging, problem-solving, ownership mentality
What Sets You Apart
Delivered production AI systems used by real users/enterprises
Active, effective use of AI tools in your own workflow
Comfortable troubleshooting production issues, improving reliability
Track record of building reusable tooling/frameworks adopted by teams
Strong engineering execution paired with stakeholder communication
Certifications (valued, not required)
AWS Certified Developer Associate, AWS Certified Solutions Architect Associate, or AWS Certified Machine Learning Engineer Associate
What's on Offer
Competitive, market-aligned compensation. Exposure to enterprise-scale AI transformation programmes across APAC, advanced AI tooling, AWS partnership ecosystems, and regulated-industry delivery experience. Equal opportunity employer.
HackerTrail is an award-winning hr tech and solutions company that is changing the status quo on recruitment. The recruitment industry is ripe with issues and old school ways of doing things, and we're disrupting this industry using our proprietary technology. We are a funded startup with talented team of 20+ people in 2 cities, and have served over 170 clients in 6 cities.
We have two flagship products:
1. Scout: an AI-powered canddate sourcing engine (*************)
2. Litmus: a gamified tech assessment engine (*************)
We also run a recruitment consultancy business which is widely recognized in Singapore as being one of the best in its category. (*************)
This is an opportunity to join a fast-paced company serving top tier clientele in multiple markets. Learn more about our team here: *************
Peringatan Penting
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