climb-ai - Forward Deployed Engineer
Requirements
• 2+ years of software engineering, data engineering, or technical delivery experience. • Demonstrated ability to take a scoped requirement and deliver working, production-quality software with limited supervision. • Hands-on experience in one or more of: application or backend development, cloud environments (AWS, Azure, or GCP), data pipeline development, or LLM application development. • Strong fundamentals in at least one primary language (Python, Scala, Java, or equivalent) and SQL. • Clear communicator: can explain what you built, what you decided, and where you are stuck, to both engineers and non-technical stakeholders. • Comfort working in someone else's codebase and environment, and adapting to a client's constraints and standards. • Genuine appetite to learn the client-facing side of the work, not just the systems and code. • Exposure to Databricks (Delta Lake, Workflows, Unity Catalog, Mosaic AI) or a comparable modern data platform. • Experience with production AI or LLM systems: RAG pipelines, agents, or model-backed applications. • Familiarity with CI/CD, testing discipline, and infrastructure-as-code. • Prior consulting, systems integrator, agency, or other client-facing experience. • Experience working with AI-assisted development and agentic tooling (e.g., Claude Code or equivalent). • 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 strong builders today and are growing toward owning complete workstreams and client relationships. • You finish what you start and hold yourself to a high bar without being chased. • You ask early rather than guessing, and you bring a proposed answer with the question. • You are comfortable being the most junior person in a client room and still adding value. • You'd rather ship something maintainable than demo something clever.
Responsibilities
• Build the components and features you are assigned: production data pipelines, LLM applications, agents, and workflow automations that meet spec and hold up under real load. • Own the implementation decisions within your scope and be accountable for the quality, testing, and reliability of what you ship. • Work from a scoped brief: turn a defined requirement into working software without needing to be told how. • Participate in architecture reviews, standups, and working sessions; ask the questions that surface constraints early. • Raise blockers, risks, and scope changes to your Senior Engineer or Architect as soon as you see them, not after they land. • Write documentation and runnable, maintainable code so the client can operate what you build after the engagement ends. • Engage directly with client engineers and stakeholders in the course of your work, with support from more senior Climbers on the broader relationship. • Build your range deliberately: pick up new tools, patterns, and parts of the stack as engagements require.
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 • 401(k) with company match • 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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