Forward Deployed Engineer (Washington, D.C)

Tribalscale Inc.; New York (NY); Presencial; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health Insurance

Professional Development

Conferences & Events

Flexible Work Schedule

Parental Leave

Mental Health Perk

Descripción de la vacante

TribalScale in New York is seeking a Forward Deployed Engineer to bridge software engineering, AI, and client delivery. You will embed with client and internal teams to rapidly design and deploy production-quality AI-enabled software in real-world environments.

You will act as hands-on engineer and trusted technical partner, translating business needs into robust architectures, prototypes, and scalable products while maintaining strong collaboration with product, design, security, and client

Formación

• Experience building AI-powered applications and agentic workflows.
• Ability to translate client needs into executable technical plans.
• Proficiency with Python or TypeScript and modern software practices.

Responsabilidades

• Embed with client and TribalScale teams to deliver production AI software.
• Design AI-enabled applications, tools, data pipelines, and APIs.
• Ensure observability, testing, and secure, scalable production systems.

Conocimientos

Python

TypeScript

APIs

Distributed systems

AI systems

Educación

Bachelor's degree in Computer Science

Herramientas

AWS

Kubernetes

CI/CD

Vector search

Descripción del empleo

• TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery
• In this role, 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 decisions
• You will be expected to understand more than models and prompts. You will help design the systems around AI models: the harnesses, agent loops, state graphs, tools, context, evaluations, observability, permissions, and human controls required to make AI applications useful and reliable in production
• 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
• In your first few months, you will have built trusted relationships with client and TribalScale teams, developed a strong understanding of the client’s operating environment, and contributed working software to a meaningful business challenge
• As you grow in the role, you will:
• Turn loosely defined client needs into clear, executable technical plans
• Deliver AI-enabled products that perform reliably outside of controlled demonstrations
• Establish evaluation and observability practices that make quality measurable and regressions visible
• Improve agent behavior by refining harnesses, loops, tools, graphs, context, and safeguards—not only by changing prompts or models
• Help client teams understand what their AI systems can do, where they can fail, and how they should be operated responsibly
• Create reusable technical patterns that accelerate future TribalScale engagements
• Become a trusted partner who can navigate uncertainty, solve difficult technical problems, and help promising ideas reach production
• Work on high-impact challenges across industries and technology domains
• Build real products and production systems—not just recommendations or presentations
• Work directly with clients and see the impact of your decisions
• Explore emerging approaches to AI, agentic systems, product development, and software delivery
• Collaborate with multidisciplinary teams that value experimentation and continuous learning
• Influence both client outcomes and TribalScale’s evolving technical practices
• Join an environment where ownership, diverse perspectives, and thoughtful innovation are encouraged

Benefits

• Health Insurance: Health, dental, vision, life insurance
• Professional Development: Weekly Lunch & Learns, subsidies on courses and workshops to help you upskill
• Conferences & Events: Constant opportunity to attend conferences and events, tickets on us
• Socials: Friday socials, group hangouts, themed parties, quarterly events!
• Flexible Work Schedule: Ability to fit work into your personal schedule
• Parental Leave: Paid parental leave for moms and dads
• Fitness Perk: Subsidized corporate membership of Class Pass offering an array of classes; Goodlife corporate gym membership which offers 30% discount as well as sign-up fees waived
• Mental Health Perk: Subsidized online therapy sessions and resources with Inkblot
• Long Weekend Perk: The option for extra long weekends to spend with your family & friends
• Take your birthday off: Go ahead, celebrate!
• Inward Strong Partnership: TribalScale has sponsored an Inward Strong platform membership for all our Tribe members
• Vet Perks: 4 Virtual Vet Appointments annually for your Furry Friends

You thrive in challenging environments where innovation is key. Your passion for technology is matched only by your drive to redefine its limits. You seek more than a job; you seek a calling a chance to make a lasting impact on the digital landscapeThis role is ideal for an adaptable engineer who enjoys direct customer interaction, can move comfortably between discovery and delivery, and wants to see their work create immediate, measurable impactA practical understanding of harness engineering: designing the infrastructure, context, tools, permissions, controls, and feedback mechanisms that enable AI agents to operate reliablyExperience instrumenting AI systems to trace decisions, inspect intermediate states, measure quality, and diagnose failuresAbility to quickly understand unfamiliar systems, technologies, and business domainsAbility to travel occasionally for client workshops or on-site delivery, where requiredExperience building or working with agent loops, including planning, tool selection, execution, observation, reflection, recovery, and terminationFamiliarity with graph-based orchestration, state machines, and multi-step workflows for coordinating agents, tools, data, and human approvalsA high degree of ownership, curiosity, empathy, and bias toward actionStrong knowledge of APIs, distributed systems, databases, cloud infrastructure, and modern software-development practicesExperience collaborating directly with customers, stakeholders, or cross-functional delivery teamsUnderstanding of the trade-offs involved in prompts, context management, memory, retrieval, tool use, structured outputs, and model selectionStrong proficiency in Python, TypeScript, or another language commonly used to build AI applications, platforms, and developer toolingAbility 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 systemComfort working in fast-moving environments where requirements and technical constraints continue to evolveExcellent written and verbal communication skills, including the ability to explain AI-system behavior, limitations, risks, and technical trade-offs clearlyStrong product judgment and the ability to balance model capability, reliability, latency, cost, security, and user experienceProfessional experience building and deploying production-grade software, ideally including AI-powered or agentic systemsExperience designing evaluation systems for AI applications, including task-based benchmarks, regression suites, model-graded evaluations, human review, and production monitoringExperience with agent frameworks, workflow engines, coding agents, or custom model-orchestration systemsExperience creating tool interfaces, execution sandboxes, permission models, and human-in-the-loop controls for autonomous or semi-autonomous systemsFamiliarity with retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, and model-routing strategiesExperience evaluating AI systems using golden datasets, simulators, adversarial testing, online experiments, and production feedbackFamiliarity with AI observability, including traces, token and cost analysis, latency measurement, failure classification, and quality dashboardsExperience building systems that use multiple models or specialized agents to complete complex tasksUnderstanding of AI security concerns, including prompt injection, data leakage, excessive agency, insecure tool use, and supply-chain risksExperience with cloud platforms such as AWS, Microsoft Azure, or Google CloudExperience with containers, Kubernetes, infrastructure as code, and CI/CD toolingContributions to AI infrastructure, evaluation tooling, agent frameworks, or related open-source projectsExperience working in regulated or complex enterprise environmentsExperience in consulting, professional services, solutions engineering, sales engineering, or another customer-facing technical roleA history of taking products from initial discovery through production launch and ongoing adoptionClaude Certified Architect - Foundations or Professional certification (or equivalent), with practical experience designing and implementing Claude-based AI solutions, agentic workflows, and enterprise integrationsExperience with agentic AI and harness-driven development, including designing, building, and optimizing autonomous AI agents, multi-agent workflows, tool integrations, and agent harnesses that support reliable, scalable, and production-ready AI applications