Deployed Engineer
Works directly with customer engineering teams to co-design, build, deploy, and operate production AI agents. The role combines hands-on software development, technical pre-sales, architecture advisory, and developer education, requiring at least three years of relevant technical experience and strong Python and JavaScript skills.
About the job
Responsibilities
- Co-architect and co-build production AI agents with customer engineering teams.
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations.
- Help customers deploy and operate agent-based applications, including conversational agents, research agents, and multi-step workflows.
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions.
- Run technical demos, trainings, and workshops for developer audiences.
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers.
- Occasionally contribute code upstream when it meaningfully improves customer outcomes.
Requirements
- 3+ years in a relevant technical role, such as software engineering, customer engineering, solutions engineering, founding engineering, or product engineering; startup or scale-up experience is preferred.
- Strong Python, JavaScript, and systems fundamentals.
- Experience designing agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling.
- Comfortable working directly with customers during POCs, architecture reviews, and technical evaluations.
- Ability to explain technical tradeoffs clearly and build trust with developer audiences.
- Ownership of outcomes, not just recommendations.
- Bias toward action and ability to figure things out as needed.
- Interest in operating AI agents in production rather than only building demos.
Nice to Have
- Experience deploying AI agents in production, especially with LangChain, LangGraph, or similar frameworks.
- Experience with LLM evaluation, observability, or guardrails.
- Experience with cloud environments, containers, and basic Kubernetes concepts.
- Experience shipping and operating production software under real-world constraints.
Compensation and Benefits
- Competitive compensation including base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
- Locally competitive benefits for team members in the EU, UK, and APAC, aligned with regional norms and regulations.
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on in-office days in the US.
Skills
Python, JavaScript, Systems Fundamentals, Llm Applications, LangChain, LangGraph, Llm Evaluation, Observability, Guardrails, AWS, GCP, Azure, Containers, Kubernetes
Similar jobs
Solutions Architecture jobs
Sardine
United KingdomLeads client onboarding and technical integrations for fraud and compliance products, translating requirements into scalable solutions and managing implementation projects. Requires 4+ years in technical integration roles, B2B SaaS experience, and proficiency with APIs, SQL, JSON, and scripting.
Snowflake
United Kingdom
Manages complex customer services engagements, translating business challenges into milestone-driven SOWs tied to measurable outcomes. Requires 5+ years of services delivery or field sales experience in data warehousing, BI, or cloud, plus strong technical discovery and scoping expertise.
Plenful
Remote
Leads solution discovery, demonstrations, pilots, and value storytelling for enterprise healthcare software sales. The role requires deep healthcare expertise—especially 340B—and experience guiding complex stakeholders from evaluation through implementation.
Stripe
London, United Kingdom
Own technical sales and implementation engagements for AI-first customers launching usage-based billing. The role combines discovery, demos, proof-of-concepts, hands-on integrations, and consultative guidance for technical founders and engineering, product, and finance teams.
Databricks
Berlin, GermanyLeads customer-facing architecture, demonstrations, proofs of concept, and implementation guidance for an agentic customer data platform. Requires 5+ years in CDP, MarTech, or customer data engineering, including substantial pre-sales or consulting experience.