climb-ai - Senior Forward Deployed Engineer
Requirements
• 5+ years of engineering or technical delivery experience, with meaningful time in embedded or client-facing contexts. • Proven delivery ownership: clear evidence you've taken client-facing work from scoping through production with limited supervision. • Hands-on depth in one or more of: LLM application development, cloud-native architecture (AWS, Azure, or GCP), backend systems at scale, or production data engineering. • Demonstrated ability to make independent technical decisions and own your own delivery quality inside a client environment. • Strong communicator: technically precise with engineers, clear and confident with VP- and C-level leadership, and able to adjust depth without losing accuracy. • High tolerance for ambiguity; consistently delivers value before every requirement is defined. • Experience building production AI systems: RAG pipelines, agents, fine-tuned models, or LLM-native applications. • Hands-on experience with Databricks (Delta Lake, Workflows, Unity Catalog, Mosaic AI) is a strong plus. • Background in a consulting firm, systems integrator, or professional services environment. • Familiarity with SOW-based, outcome-priced delivery and active scope management. • Note on certification: Databricks experience is valued but not required at hire. Both Databricks and Anthropic certification are expected to be obtained post-hire. • This role is designed for engineers who are ready to own complete workstreams today and are growing toward whole-system architecture and engagement leadership. • You naturally own an entire workstream and recognize delivery risks, organizational friction, and expansion opportunities before they become visible to everyone else. • You bring expansion signals forward without being asked. • You'd rather ship something maintainable than demo something clever.
Responsibilities
• Own the workstreams and components you are responsible for, from design through production, inside the client's environment. • Participate in discovery, architecture reviews, and stakeholder interviews on your area of the engagement; turn vague problems into scoped, deliverable work. • Make the build and design decisions appropriate to the client's environment and constraints on the work you own, and stand behind them. • Build the system: production data pipelines, LLM applications, agents, and workflow automations that meet spec and hold up under real load. • Manage scope actively on your workstreams: surface risk and creep before it becomes a problem, not after. • Transfer capability that lasts: documented, runnable, maintainable software that works after you leave. • Build trusted relationships with client stakeholders while supporting the Architect or AI Lead in overall account ownership. • Contribute reusable patterns and lessons learned that improve future delivery.
Benefits
• Ground floor, real backing. You are joining early, with founders who have built and exited firms like this before. You help write the playbook rather than inherit one. • Outcomes, not hours. We sell and deliver against business results. Advancement is tied to delivery performance and account impact, not utilization targets. • Senior team, no body-shop drag. Small pods of A-players, heavy internal AI leverage, and no bloated middle layers between you and the work. • IP that compounds. Every engagement feeds reusable accelerators, patterns, and points of view back into the practice. • Autonomy with a bench. Minimal oversight in the field, a strong senior technical bench behind you when the problem warrants it. • Competitive base salary with performance-based bonuses • MacBook Pro and swag kit so you can do your best work • Comprehensive health, dental, and vision insurance • Generous holidays, flexible PTO, and remote-first work environment • Professional development budget including Databricks and cloud certifications • Spot bonuses for relevant certifications • Conference attendance and thought leadership opportunities • Collaborative, low-ego culture with direct access to leadership • Opportunity to shape a growing practice from the ground floor
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