- 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
- This 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 impact
- Partner directly with clients to understand & inform their objectives, workflows, technical environments, data, and operational constraints
- Provide expert advice on architecture, data layers and data pipelines, helping to structure the underpinning of automated delivery cycles
- Drive agentic engineering practices across our clients, providing 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 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

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
- Strong product judgment and the ability to balance model capability, reliability, latency, cost, security, and user experience
- Excellent written and verbal communication skills, including the ability to explain AI-system behavior, limitations, risks, and technical trade-offs clearly
- Comfort working in rapid-moving environments where requirements and technical constraints continue to evolve
- Ability to quickly understand unfamiliar systems, technologies, and business domains
- Ability to travel occasionally for client workshops or on-site delivery, where required
- A high degree of ownership, curiosity, empathy, and bias toward action
- Strong knowledge of APIs, distributed systems, databases, cloud infrastructure, and modern software-development practices
- 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




- Professional experience building and deploying production-grade software, including AI-powered or agentic systems
- Experience designing evaluation systems for AI applications, including task-based benchmarks, regression suites, model-graded evaluations, human review, and production monitoring
- Strong proficiency in Python, TypeScript, or another language commonly used to build AI applications, platforms, and developer tooling
- Experience instrumenting AI systems to trace decisions, inspect intermediate states, measure quality, and diagnose failures
- A practical understanding of harness engineering: designing the infrastructure, context, tools, permissions, controls, and feedback mechanisms that enable AI agents to operate reliably
- Understanding of the trade-offs involved in prompts, context management, memory, retrieval, tool use, structured outputs, and model selection
- Experience collaborating directly with customers, stakeholders, or cross-functional delivery teams
- Strong presentation & communication skills, experience working with teams and mentoring other engineers in a collaborative environment
- Familiarity with graph-based orchestration, state machines, and multi-step workflows for coordinating agents, tools, data, and human approvals
- Experience building or working with agent loops, including planning, tool selection, execution, observation, reflection, recovery, and termination
- We recognize that strong candidates may not meet every qualification listed. If this role excites you and your experience is adjacent to what we have described, we encourage you to apply
- 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 cloud platforms such as AWS, Microsoft Azure, or Google Cloud
- 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

📌 Senior Agentic Engineer (JavaScript) (Toronto)
🏢 TribalScale
📍 Toronto