Live opening · Posted 21 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
About Nimble Gravity:
We’re a data, AI and digital engineering consultancy. Certified across Microsoft, Anthropic, and Databricks, we turn AI ambition into working systems for leaders who need results, not roadmaps.
We're looking for a hands-on engineering leader who is as comfortable in a client workshop as in a pull request. You'll build and coach a team across the Americas that turns ambiguous business problems into working AI systems in production. You'll also spot where the next phase of work lives.
Key Responsibilities
Lead a distributed team: Hire, coach, and grow forward deployed engineers across the USA and LATAM. Build a culture of trust, clear communication, and shared standards across time zones.
Own delivery: Be accountable for scope, quality, timelines, and outcomes across multiple concurrent client engagements.
Be the technical voice with clients: Run demos, architecture sessions, and delivery workshops that show clients what Claude Code and Claude Cowork can do in their environment.
Build alongside the team: Stay close to the code. Prototype, review designs, and unblock the team on agentic workflows, tool use, MCP integrations, and evaluation.
Find the next phase: Spot expansion opportunities in the work and partner with account leadership to shape and scope them.
Establish repeatable practices: Build reusable patterns, accelerators, and playbooks that the whole team can use, wherever they sit.
Collaborate across the business: Work with data, cloud, and digital engineering teams to deliver end-to-end outcomes.
What We're Looking For
Required
7+ years in software engineering, with 2+ years leading engineers or technical teams, ideally distributed ones.
Experience in client-facing delivery: consulting, solutions engineering, or forward deployed work.
Hands-on experience building with LLMs and agentic patterns, including tool use, RAG, workflow orchestration, and evaluation.
Strong Python or TypeScript skills, plus solid API design, CI/CD, and cloud fundamentals (Azure, AWS, or GCP).
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