
Deployed Engineer, Professional Services β APAC
Posted Sep 15

Posted Sep 15
This is a fully remote position, open to applicants in Singapore.
β’ Convert ambiguous enterprise workflows into precise software specifications
β’ Lead engineering teams in implementing solutions or create solutions for clients
β’ Design architectures for customer agents
β’ Collaborate with customer engineering teams to develop evaluation pipelines
β’ Integrate within client teams for prolonged engagements and deploy agent systems directly
β’ Provide guidance on agent architecture design, evaluation strategies, and best practices for production
β’ Collaborate with customer engineering teams throughout the complete Agent Development Lifecycle (ADLC)
β’ Deliver agent engineering encompassing architecture design, orchestration patterns, evaluations, custom conversational UIs, and production deployment
β’ Utilize post-training, supervised fine-tuning, harness engineering, trace mining, model selection, and evaluation methodologies
β’ Engage directly with enterprise clients to create dependable, production-grade agents
β’ Minimum of 4 years in software engineering with extensive expertise in Python
β’ Experience with TypeScript/JavaScript is a plus
β’ At least 2 years of practical experience in developing and deploying production agent systems
β’ Excellent client-facing communication skills, capable of clearly conveying architectural choices to technical stakeholders (engineers, architects, CTOs)
β’ Significant experience with LangChain/LangGraph/Deep Agents or similar frameworks, including multi-agent patterns and state management (both short and long-term memory)
β’ In-depth knowledge of designing and implementing evaluation methodologies for non-deterministic AI systems
β’ Comfortable working across the entire spectrum from advisory roles to embedded delivery
β’ Willingness to travel up to 20% of the time
β’ Familiarity with dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL
β’ Experience with trace mining to facilitate continuous improvement cycles
β’ Capability to provide a portfolio upon request
β’ Competitive compensation package that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks
β’ Regionally competitive benefits aligned with local norms and regulations for team members in the EU, UK, and APAC
β’ Medical insurance
β’ Dental insurance
β’ Vision insurance
β’ Flexible vacation policy
β’ 401(k) retirement plan
β’ Meals provided on in-office days in the US
Mercor
RTX
Expel
Qualus
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