Role overview

TribalScale is seeking a Senior Agentic Engineer to work at the intersection of software engineering, artificial intelligence, and client delivery. You will embed with client teams to understand complex business challenges, design solutions, and deploy production-quality software in real-world environments. TribalScale is a digital innovation firm that partners with organizations to build transformative products, modernize technology platforms, and apply emerging technologies to meaningful business problems.

Key responsibilities

Work directly with clients to understand their objectives, workflows, technical environments, data, and operational constraints.
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products that solve real business problems.
Engineer the infrastructure around AI models, including prompts, tools, context, memory, permissions, runtime controls, observability, and feedback mechanisms.
Build and refine agent loops that support planning, tool selection, execution, observation, reflection, recovery, and termination.
Model complex workflows as graphs, state machines, or other orchestration patterns that coordinate models, tools, data, systems, and human approvals.
Create evaluation frameworks that measure task completion, accuracy, reliability, safety, latency, cost, and user value.
Develop rapid prototypes and proofs of concept, validate them with real users, and evolve successful ideas into secure, scalable products.
Implement safeguards, permission boundaries, approval steps, and fallbacks for autonomous and semi-autonomous systems.
Instrument AI applications so teams can inspect traces, diagnose failures, and improve system performance.
Identify and address failure modes such as hallucinations, looping, brittle tool calls, context loss, prompt injection, and unsafe actions.
Integrate solutions with client systems, enterprise data sources, cloud platforms, and third-party services.
Communicate technical decisions, risks, trade-offs, and progress clearly to both technical and non-technical audiences.
Establish strong engineering practices, including automated testing, documentation, observability, security, and continuous delivery.

Requirements

Professional experience building and deploying production-grade software, including AI-powered or agentic systems.
Strong proficiency in JavaScript, Node.js, TypeScript, and Python.
Strong development fundamentals including object-oriented programming, test-driven development, and cloud-based application deployment.
Practical understanding of harness engineering: designing the infrastructure, context, tools, permissions, controls, and feedback mechanisms that enable AI agents to operate reliably.
Strong presentation and communication skills, with experience working in collaborative teams and mentoring other engineers.

What makes this role worth considering

This position offers the opportunity to operate as both a hands-on engineer and a trusted technical partner, directly influencing how clients leverage artificial intelligence. You will see your work create immediate, measurable impact by helping organizations adapt to rapidly changing technology landscapes. The role combines technical depth with client interaction, ideal for an adaptable engineer who enjoys moving between discovery and delivery phases.