Deployed Engineer, Professional Services

Posted Aug 28

This is a fully remote position, open to applicants in California, +7 more states.

πŸ“‹ Description

β€’ Provide guidance to enterprise clients on agent architecture design, evaluation strategies, and best practices for production.

β€’ Collaborate with customer engineering teams throughout the entire Agent Development Lifecycle.

β€’ Act as a deployed engineer integrated within customer teams for prolonged engagements.

β€’ Convert ambiguous enterprise workflows into precise software specifications.

β€’ Assist engineering teams in navigating solutions or build solutions directly.

β€’ Design architectures and orchestration patterns for agents.

β€’ Create evaluation systems and tailor conversational user interfaces.

β€’ Deploy operational agent systems.

β€’ Conduct post-training activities, supervised fine-tuning, harness engineering, and trace mining.

β€’ Choose models and formulate evaluation methodologies.

β€’ Deliver dependable production agents alongside customer engineers.


⛳️ Requirements

β€’ A minimum of 4 years of software engineering experience with extensive knowledge in Python.

β€’ Proficiency in TypeScript/JavaScript is an advantage.

β€’ At least 2 years of practical experience in building and delivering production agent systems.

β€’ Excellent client-facing communication abilities.

β€’ Capability to explain architectural choices to technical stakeholders, including engineers, architects, and CTOs.

β€’ Strong background with LangChain, LangGraph, Deep Agents, or similar frameworks.

β€’ Experience with multi-agent patterns and state management, covering both short- and long-term memory.

β€’ In-depth understanding of evaluation methodologies for non-deterministic AI systems.

β€’ Comfortable functioning in both advisory and embedded delivery roles.

β€’ Familiarity with dataset curation and post-training methods such as SFT, DPO, and RLHF is a plus.

β€’ Experience with open-weight models and tools like Axolotl, Unsloth, Hugging Face Transformers, or TRL is a bonus.

β€’ Knowledge of trace mining to facilitate continuous improvement cycles is advantageous.


🏝️ Benefits

β€’ Equity

β€’ Medical coverage

β€’ Dental coverage

β€’ Vision coverage

β€’ Flexible vacation

β€’ 401(k) plan

β€’ Meals provided on in-office days in the US

β€’ Benefits tailored to regional norms and regulations for team members in the EU, UK, and APAC

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