Высокоуровневая роль в компании, определяющей развитие AI-агентов. Стек максимально современный, а потенциал профессионального роста огромен, несмотря на гибридный характер работы (инженерия + консалтинг).
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Текст:
Hirify AI/Оригинал
TL;DR
Deployed Engineer (AI) (LangChain/LangGraph/Deep Agents): Building reliable production AI agents and evaluation pipelines for enterprise customers with an accent on agent architecture, non-deterministic system evaluation, and end-to-end deployment. Focus on translating enterprise workflows into software specifications, co-building agent systems, and applying post-training, trace mining, and model selection techniques.
Location: Remote in Singapore
Company
LangChain builds open-source frameworks and a platform for building, evaluating, deploying, and operating AI agents at scale.
What you will do
Design agent architectures, review evaluation strategies, and provide production guidance to enterprise customers.
Translate ambiguous enterprise workflows into concrete software specifications and guide customer engineering teams through implementation.
Co-build reliable production agents across the full Agent Development Lifecycle.
Embed with customer teams for extended engagements and ship agent systems alongside their engineers.
Design orchestration patterns, evaluation systems, conversational UIs, and production deployments.
Apply post-training, trace mining, model selection, and evaluation methodologies to improve AI systems.
Requirements
4+ years of software engineering experience with deep expertise in Python.
2+ years of hands-on experience building and shipping production agent systems.
Strong client-facing communication skills and the ability to explain architectural decisions to technical stakeholders.
Strong experience with LangChain, LangGraph, Deep Agents, or comparable frameworks, including multi-agent patterns and state management.
Deep familiarity with evaluation methodologies for non-deterministic AI systems and comfort working across advisory and embedded delivery.
Willingness to travel up to 20% of the time.
Nice to have
TypeScript or JavaScript experience.
Dataset curation and post-training experience with SFT, DPO, or RLHF on open-weight models.
Experience with Axolotl, Unsloth, Hugging Face Transformers, or TRL.
Experience using trace mining to drive continuous improvement loops.
Culture & Benefits
Meaningful impact on product development and technical direction.
Competitive base salary, variable compensation where relevant, equity, benefits, and perks.
Locally competitive benefits for team members in APAC.
Medical, dental, and vision coverage.
Flexible vacation and additional regional benefits.
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