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About the Role

TribalScale is seeking a Forward Deployed Engineer to bridge software engineering, AI, product development, and client delivery. This role involves embedding with client and internal teams to solve complex business problems, design solutions, and deploy production-quality software. You will act as both a hands-on engineer and a technical partner, translating business needs into products and guiding clients on technology decisions. The role requires understanding the systems around AI models, including harnesses, agent loops, state graphs, tools, context, evaluations, observability, permissions, and human controls for production-ready AI applications. This position is ideal for adaptable engineers who enjoy customer interaction, can transition between discovery and delivery, and want to see their work have an immediate, measurable impact.

Responsibilities

Partner directly with clients to understand and inform their objectives, workflows, technical environments, data, and operational constraints.
Provide expert advice on architecture, data layers, and data pipelines, helping to structure automated delivery cycles.
Drive agentic engineering practices across clients, offering expert advice and coaching.
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 for teams to 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.

Requirements

Professional experience building and deploying production-grade software, including AI-powered or agentic systems.
Strong development fundamentals, object-oriented programming, test-driven development, and cloud-based application deployment.
Strong presentation & communication skills, experience working with teams and mentoring other engineers in a collaborative environment.
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.
Ability to quickly understand unfamiliar systems, technologies, and business domains.
Ability to move from an ambiguous customer problem to a working prototype, validate it with real users and evaluations, and evolve it into a secure, maintainable production system.
Strong product judgment and the ability to balance model capability, reliability, latency, cost, security, and user experience.
Experience collaborating directly with customers, stakeholders, or cross-functional delivery teams.
Excellent written and verbal communication skills, including the ability to explain AI-system behavior, limitations, risks, and technical trade-offs clearly.
Comfort working in fast-moving environments where requirements and technical constraints continue to evolve.
A high degree of ownership, curiosity, empathy, and bias toward action.
Ability to travel occasionally for client workshops or on-site delivery, where required.
Experience with agent frameworks, workflow engines, coding agents, or custom model-orchestration systems.
Experience creating tool interfaces, execution sandboxes, permission models, and human-in-the-loop controls for autonomous or semi-autonomous systems.
Familiarity with retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, and model-routing strategies.
Experience evaluating AI systems using golden datasets, simulators, adversarial testing, online experiments, and production feedback.
Familiarity with AI observability, including traces, token and cost analysis, latency measurement, failure classification, and quality dashboards.
Experience building systems that use multiple models or specialized agents to complete complex tasks.
Understanding of AI security concerns, including prompt injection, data leakage, excessive agency, insecure tool use, and supply-chain risks.
Experience with containers, Kubernetes, infrastructure as code, and CI/CD tooling.
Contributions to AI infrastructure, evaluation tooling, agent frameworks, or related open-source projects.
Experience working in regulated or complex enterprise environments.
Experience in consulting, professional services, solutions engineering, sales engineering, or another customer-facing technical role.
A history of taking products from initial discovery through production launch and ongoing adoption.

Skills

JavaScript
NodeJS
TypeScript
Python
iOS
Android
React Native
React
Node.js
Amazon Alexa
Google Home
Roku
Fire TV
Android TV
tvOS
Object Oriented Programming
Test Driven Development
Cloud Based Application Deployment
APIs
Distributed Systems
Databases
Cloud Infrastructure
AWS
Microsoft Azure
Google Cloud
Agent Frameworks
Workflow Engines
Coding Agents
Model Orchestration
Retrieval Augmented Generation
Embeddings
Vector Search
Knowledge Graphs
Fine-tuning
Model Routing
Golden Datasets
Simulators
Adversarial Testing
Online Experiments
Production Feedback
AI Observability
Traces
Token Analysis
Cost Analysis
Latency Measurement
Failure Classification
Quality Dashboards
AI Security
Prompt Injection
Data Leakage
Excessive Agency
Insecure Tool Use
Supply Chain Risks
Containers
Kubernetes
Infrastructure as Code
CI/CD Tooling
Open Source Projects

Location

Remote

Work Type

Full-time

Experience Level

Professional experience

About the Company

TribalScale is a digital innovation firm that helps organizations adapt and thrive in a rapidly changing world.
We partner with clients to build transformative digital products, modernize technology platforms, and apply emerging technologies—including artificial intelligence—to meaningful business challenges.
Our teams work closely with clients from strategy through execution.
We value curiosity, ownership, practical innovation, and people who are comfortable turning ambiguity into action.
Our Digital Expertise includes Transformation Experts, Strategic Visionaries, Product Virtuosos, and Code Optimizers.
Our Technological Toolkit includes Mobile & Web Development (iOS, Android, React Native, React, Node.js), Voice-Activated Platforms (Amazon Alexa, Google Home), Connected Ecosystems (Cars and Homes), and Streaming Platforms (Roku, Fire TV, Android TV, tvOS).
The TribalScale Professional thrives in challenging environments where innovation is key, with a passion for technology and a drive to redefine its limits.
TribalScale's mission is to 'Right the Future' through innovation.
At TribalScale, collaboration is at the heart of our innovative approach.
We don't simply work for clients; we form partnerships, building transformative solutions that redefine what's possible.
Our team, once at the forefront of the mobile revolution, now leads the charge in AI-driven innovation.
We empower each team member to be a catalyst for change, adhering to our principles of meritocracy, empowerment, and transparency.
Diversity isn't just celebrated—it's fundamental to our strength.

Equal Opportunity

TribalScale proudly stands as a beacon of equal opportunity in employment and workplace culture.
We are steadfastly committed to equal employment opportunity, transcending the boundaries of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, able-bodiedness, or gender identity.
We not only welcome but actively encourage applications from individuals of all abilities, ages, citizenships, marital statuses, and gender identities.
Should you require any accommodations, we implore you to inform us.
Our commitment to inclusivity knows no bounds, and we stand ready to adapt our processes to ensure your comfort and success.