Role overview

TribalScale is seeking a Forward Deployed Engineer to work directly with clients on digital transformation projects that combine software engineering, artificial intelligence, and product development. You will embed with client teams to understand complex business problems, design solutions rapidly, and deploy production-quality software that creates measurable impact in real-world environments.

Key responsibilities

Partner directly with clients to understand their business objectives, existing workflows, technical environments, data sources, and operational constraints.
Translate ambiguous business challenges into clear technical requirements, solution architectures, and delivery plans supported by prototypes and proofs of concept.
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products that integrate with client systems and enterprise data sources.
Engineer the infrastructure around AI models, including prompts, tools, context management, memory systems, permission boundaries, runtime controls, and feedback mechanisms.
Build and refine agent loops that support planning, tool selection, execution, observation, reflection, recovery, and termination across complex workflows.
Create evaluation frameworks that measure task completion, accuracy, reliability, safety, latency, cost, and user value in production environments.
Implement safeguards, approval steps, and fallbacks for autonomous and semi-autonomous systems, then instrument applications to enable inspection, diagnosis, and performance improvement.
Communicate technical decisions, risks, and trade-offs to both technical and non-technical stakeholders, and collaborate across product, design, security, and data teams throughout the delivery lifecycle.

Requirements

Professional experience building and deploying production-grade software, ideally including AI-powered or agentic systems.
Strong proficiency in Python, TypeScript, or another language commonly used to build AI applications and developer tooling.
Practical understanding of harness engineering, including designing infrastructure, context, tools, permissions, and controls that enable AI agents to operate reliably.
Experience building or working with agent loops, including planning, tool selection, execution, observation, reflection, recovery, and termination patterns.
Familiarity with graph-based orchestration, state machines, and multi-step workflows for coordinating agents, tools, data, and human approvals.
Experience designing evaluation systems for AI applications, including task-based benchmarks, regression suites, model-graded evaluations, and human review processes.

What makes this role worth considering

This position offers the opportunity to work at the intersection of strategy and execution, embedding directly with clients to see your engineering contributions create immediate, measurable impact. You will operate as both a hands-on engineer and trusted technical partner, moving fluidly between discovery and delivery while helping shape how emerging AI technologies solve real business problems.