Deployed Engineer, Professional Services – APAC

Posted Sep 15

This is a fully remote position, open to applicants in Singapore.

πŸ“‹ Description

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


⛳️ Requirements

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


🏝️ Benefits

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

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