AI Solutions Engineer — Client-Facing & Production

Remote; San Francisco (CA); Remote; USD 150,000 - 230,000; Full time

Job summary

TribalScale seeks a Forward Deployed Engineer to work at the intersection of software engineering, AI, product development, and client delivery. You will embed with client and internal teams to understand complex business problems, rapidly design solutions, and deploy production-quality software in real-world environments.

You will operate as both a hands-on engineer and a trusted technical partner—translating business needs into working products while helping clients make sound technology

Qualifications

• 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, platforms, and developer tooling.
• A practical understanding of harness engineering: designing the infrastructure, context, tools, permissions, controls, and feedback mechanisms that enable AI agents to operate reliably.
• Experience building or working with agent loops, including planning, tool selection, execution, observation, reflection, recovery, and termination.
• 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, human review, and production monitoring.
• Understanding of the trade-offs involved in prompts, context management, memory, retrieval, tool use, structured outputs, and model selection.
• Experience instrumenting AI systems to trace decisions, inspect intermediate states, measure quality, and diagnose failures.
• Strong knowledge of APIs, distributed systems, databases, cloud infrastructure, and modern software-development practices.

Responsibilities

• Partner directly with clients to understand their objectives, workflows, technical environments, data, and operational constraints.
• Translate ambiguous business challenges into clear technical requirements, solution architectures, prototypes, and delivery plans.
• Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.
• Engineer the harnesses 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 representative evaluations, and evolve successful ideas into secure, scalable products.
• Integrate solutions with client systems, enterprise data sources, cloud platforms, and third-party services.
• Work across the technology stack, contributing wherever needed—from user interfaces and backend services to AI infrastructure, data workflows, and deployment pipelines.
• Implement appropriate safeguards, permission boundaries, approval steps, and fallbacks for autonomous and semi-autonomous systems.
• Instrument AI applications so teams can inspect traces, understand intermediate states, diagnose failures, and improve system performance.
• Identify and address failure modes such as hallucinations, looping, brittle tool calls, context loss, prompt injection, non-deterministic behavior, and unsafe actions.
• Troubleshoot complex technical and operational issues in client environments.
• Communicate technical decisions, risks, trade-offs, and progress clearly to both technical and non-technical audiences.
• Collaborate with product managers, designers, engineers, data specialists, security teams, and client stakeholders throughout the delivery lifecycle.
• Establish strong engineering practices, including automated testing, documentation, observability, security, and continuous delivery.
• Capture reusable patterns, components, and insights that strengthen TribalScale’s engineering capabilities and future client engagements.
• Support technical discovery, solution demonstrations, workshops, and pre-sales conversations when needed.

Skills

Python

TypeScript

AI Applications

Harness Engineering

Agent Loops

Graph Orchestration

APIs

Cloud & CI/CD

Distributed Systems

Communication

Tools

Kubernetes

Docker

CI/CD tooling

Cloud Platforms

APIs

Job description

TribalScale seeks a Forward Deployed Engineer to work at the intersection of software engineering, AI, product development, and client delivery. You will embed with client and internal teams to understand complex business problems, rapidly design solutions, and deploy production-quality software in real-world environments.

You will operate as both a hands-on engineer and a trusted technical partner—translating business needs into working products while helping clients make sound technology