Deployed Engineer, Professional Services

🔥 0 minutes ago

🏄 California, Colorado, +6 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🎰 Nevada – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $150k - $215k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 20%

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LangChain

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $25M Series A on 2024-02

Artificial Intelligence • B2B • SaaS

LangChain is a composable framework designed to assist developers throughout the entire lifecycle of Large Language Model (LLM) applications. Their suite of products, including LangGraph and LangSmith, offers tools for building, deploying, and managing applications that can reason and operate at scale. With a focus on operational efficiency and improved performance, LangChain supports a wide range of industries through its innovative offerings.

📋 Description

• Advise enterprise customers on agent architecture design, evaluation strategy, and production best practices • Co-build with customer engineering teams across the full Agent Development Lifecycle • Serve as a deployed engineer embedded within customer teams for extended engagements • Translate vague enterprise workflows into concrete software specifications • Guide engineering teams through resulting solutions or build solutions directly • Design agent architectures and orchestration patterns • Develop evaluation systems and custom conversational UIs • Deploy production agent systems • Perform post-training, supervised fine-tuning, harness engineering, and trace mining • Select models and develop evaluation methodologies • Ship reliable production agents alongside customer engineers

🎯 Requirements

• 4+ years of software engineering experience with deep expertise in Python • TypeScript/JavaScript is a plus • 2+ years of hands-on experience building and shipping production agent systems • Strong client-facing communication skills • Ability to articulate architectural decisions to technical stakeholders, including engineers, architects, and CTOs • Strong experience with LangChain, LangGraph, Deep Agents, or comparable frameworks • Experience with multi-agent patterns and state management, including short- and long-term memory • Deep familiarity with evaluation methodologies for non-deterministic AI systems • Comfortable operating across advisory and embedded delivery • Exposure to dataset curation and post-training techniques such as SFT, DPO, and RLHF is a plus • Experience with open-weight models and tools such as Axolotl, Unsloth, Hugging Face Transformers, or TRL is a plus • Experience with trace mining to drive continuous improvement loops is a plus

🏖️ Benefits

• Equity • Medical coverage • Dental coverage • Vision coverage • Flexible vacation • 401(k) plan • Meals on in-office days in the US • Benefits aligned with regional norms and regulations for team members in the EU, UK, and APAC