Tech Lead AI
这是一个遥远的位置。我们正在寻找一个非常有能力的技术领导者，以拥有人工智能驱动的聊天机器人产品的技术方向，交付和演变。这个角色结合了人工智能系统设计，技术领导，人员管理和产品协作。该产品严重依赖于 LLM 集成和基于代理的架构，需要不断尝试新技术来提高质量，可靠性和用户体验。理想候选人在不断发展的需求环境中工作舒适，并且能够将模糊的产品需求转化为结构化的技术解决方案。这是一个要求强大的自主权和所有制思维的高度实践性的职位。工作活动 领导 LLC 驱动的聊天机器人架构设计和发展，包括基于代理的工作流程，工具集成以及背景/记忆战略，确保高质量，可靠和成本效益高的 AI 系统。定义技术方向和系统架构，促进扩展性，维护性和工程最佳实践，同时主动地识别和减轻风险。通过结构复杂的举措，调整时间表和协调工程努力来实现在活跃环境中一致的进展。导师和支持工程师，提供技术指导，解锁挑战，培养强高性能的工程文化。与利益相关者密切合作将业务需求转化为有效的 AI 解决方案，促进产品路线图，优先级和持续改善用户体验。通过探索和验证代理配套，快速工程和人工智能系统优化的新方法来推动创新，不断提高绩效，可靠性和效率。要求 · 强大的经验在构建 LLM 驱动应用程序上，包括基于代理的工作流程，快速设计，RAG,嵌入式以及工具/功能调用等。· 熟练掌握 LangChain 和 （最好）LangGraph 等框架。· 技术领导者或高级工程师，具有从零开始设计可扩展系统的能力；包括 API 和后端架构。· 经过证明的领导技能，包括指导工程师，引导技术决策以及在模糊环境中结构化工作。· Exp
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This is a remote position.
We are looking for a highly capable Tech Lead to own the technical direction, delivery, and evolution of an AI-powered chatbot product.This role combines AI system design, technical leadership, people management, and product collaboration.The product heavily relies on LLM integrations and agent-based architectures, requiring continuous experimentation with new techniques in order to improve quality, reliability, and user experience.The ideal candidate is comfortable operating in environments with evolving requirements and is able to transform ambiguous product needs into structured technical solutions.This is a highly hands-on role requiring strong autonomy and ownership mindset.Job Activities
Lead the design and evolution of LLM-powered chatbot architectures, including agent-based workflows, tool integrations, and context/memory strategies, ensuring high-quality, reliable, and cost-efficient AI systems.
Define technical direction and system architecture, promoting scalability, maintainability, and engineering best practices, while proactively identifying and mitigating risks.
Own delivery execution by structuring complex initiatives, aligning timelines, and coordinating engineering efforts to ensure consistent progress in dynamic environments.
Mentor and support engineers, providing technical guidance, unblocking challenges, and fostering a strong, high-performing engineering culture.
Collaborate closely with stakeholders to translate business needs into effective AI solutions, contributing to product roadmap, prioritization, and continuous improvement of user experience.
Drive innovation by exploring and validating new approaches in agent orchestration, prompt engineering, and AI system optimization, continuously improving performance, reliability, and efficiency.
Requirements
- Strong experience building LLM-powered applications, including agent-based workflows, prompt engineering, RAG, embeddings, and tool/function calling. Solid understanding of improving reliability, evaluating outputs, and optimizing AI system quality.
- Proficiency with frameworks such as LangChain and (preferably) LangGraph.
- Strong background in software engineering as a Tech Lead or Senior Engineer, with the ability to design scalable systems from scratch, including APIs and backend architectures.
- Proven leadership skills, including mentoring engineers, guiding technical decisions, and structuring work in ambiguous environments.
- Experience owning end-to-end delivery of complex initiatives, with the ability to break down problems, prioritize effectively, and ensure consistent execution.
- Strong product mindset, able to identify gaps, propose structured solutions, and make decisions with incomplete information.
- Excellent communication skills, with the ability to clearly explain complex AI systems and align technical decisions with business goals
Nice to Have
· Experience with AI-assisted development tools (e.g., Cursor, Claude Code, Copilot) to improve productivity.
- Familiarity with advanced AI topics such as evaluation frameworks, guardrails, cost-performance optimization, latency reduction, and long-term memory strategies.
Originally posted on Himalayas