{"id":660061,"url":"https://alion.io/job/tribalscale-forward-deployed-agile-software-engineer","title":"Forward Deployed Agile Software Engineer","company":{"id":689537,"name":"TribalScale","domain":"tribalscale.com","url":"https://alion.io/company/tribalscale-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":206000,"period":"year","method":"role_country_seniority_unknown","sample_n":913},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"React Native","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Embeddings","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"JavaScript","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"RAG","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-08-05T18:42:53Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-09-27T01:04:53Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"Shape the Future with TribalScale\nTribalScale 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.\nOur teams work closely with clients from strategy through execution. We value curiosity, ownership, practical innovation, and people who are comfortable turning ambiguity into action.\nOur Digital Expertise\nTransformation Experts: We transform traditional business models into agile, AI-powered ecosystems.\nStrategic Visionaries: We navigate the uncharted waters of technological evolution.\nProduct Virtuosos: We orchestrate the creation of world-class digital solutions.\nCode Optimizers: We leverage AI to refine and perfect digital systems.\nOur Technological Toolkit\n Mobile & Web Development: (iOS, Android, React Native, React, Node.js)\n Voice-Activated Platforms: (Amazon Alexa, Google Home)\n Connected Ecosystems: (Cars and Homes)\n Streaming Platforms: (Roku, Fire TV, Android TV, tvOS)\nThe TribalScale Professional\nYou 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 landscape.\nThe Opportunity\nTribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.\nIn 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.\nYou 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.\nThis 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.\nWhat You’ll Do\nPartner directly with clients to understand their objectives, workflows, technical environments, data, and operational constraints.\nTranslate ambiguous business challenges into clear technical requirements, solution architectures, prototypes, and delivery plans.\nDesign and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.\nEngineer the harnesses around AI models, including prompts, tools, context, memory, permissions, runtime controls, observability, and feedback mechanisms.\nBuild and refine agent loops that support planning, tool selection, execution, observation, reflection, recovery, and termination.\nModel complex workflows as graphs, state machines, or other orchestration patterns that coordinate models, tools, data, systems, and human approvals.\nCreate evaluation frameworks that measure task completion, accuracy, reliability, safety, latency, cost, and user value.\nDevelop rapid prototypes and proofs of concept, validate them with real users and representative evaluations, and evolve successful ideas into secure, scalable products.\nIntegrate solutions with client systems, enterprise data sources, cloud platforms, and third-party services.\nWork across the technology stack, contributing wherever needed-from user interfaces and backend services to AI infrastructure, data workflows, and deployment pipelines.\nImplement appropriate safeguards, permission boundaries, approval steps, and fallbacks for autonomous and semi-autonomous systems.\nInstrument AI applications so teams can inspect traces, understand intermediate states, diagnose failures, and improve system performance.\nIdentify and address failure modes such as hallucinations, looping, brittle tool calls, context loss, prompt injection, non-deterministic behavior, and unsafe actions.\nTroubleshoot complex technical and operational issues in client environments.\nCommunicate technical decisions, risks, trade-offs, and progress clearly to both technical and non-technical audiences.\nCollaborate with product managers, designers, engineers, data specialists, security teams, and client stakeholders throughout the delivery lifecycle.\nEstablish strong engineering practices, including automated testing, documentation, observability, security, and continuous delivery.\nCapture reusable patterns, components, and insights that strengthen TribalScale’s engineering capabilities and future client engagements.\nSupport technical discovery, solution demonstrations, workshops, and pre-sales conversations when needed.\nWhat You Bring\nProfessional experience building and deploying production-grade software, ideally including AI-powered or agentic systems.\nStrong proficiency in Python, TypeScript, or another language commonly used to build AI applications, platforms, and developer tooling.\nA practical understanding of harness engineering: designing the infrastructure, context, tools, permissions, controls, and feedback mechanisms that enable AI agents to operate reliably.\nExperience building or working with agent loops, including planning, tool selection, execution, observation, reflection, recovery, and termination.\nFamiliarity with graph-based orchestration, state machines, and multi-step workflows for coordinating agents, tools, data, and human approvals.\nExperience designing evaluation systems for AI applications, including task-based benchmarks, regression suites, model-graded evaluations, human review, and production monitoring.\nUnderstanding of the trade-offs involved in prompts, context management, memory, retrieval, tool use, structured outputs, and model selection.\nExperience instrumenting AI systems to trace decisions, inspect intermediate states, measure quality, and diagnose failures.\nStrong knowledge of APIs, distributed systems, databases, cloud infrastructure, and modern software-development practices.\nAbility to quickly understand unfamiliar systems, technologies, and business domains.\nAbility 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.\nStrong product judgment and the ability to balance model capability, reliability, latency, cost, security, and user experience.\nExperience collaborating directly with customers, stakeholders, or cross-functional delivery teams.\nExcellent written and verbal communication skills, including the ability to explain AI-system behavior, limitations, risks, and technical trade-offs clearly.\nComfort working in fast-moving environments where requirements and technical constraints continue to evolve.\nA high degree of ownership, curiosity, empathy, and bias toward action.\nAbility to travel occasionally for client workshops or on-site delivery, where required.\nWe 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.\nNice to Have\nExperience with agent frameworks, workflow engines, coding agents, or custom model-orchestration systems.\nExperience creating tool interfaces, execution sandboxes, permission models, and human-in-the-loop controls for autonomous or semi-autonomous systems.\nFamiliarity with retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, and model-routing strategies.\nExperience evaluating AI systems using golden datasets, simulators, adversarial testing, online experiments, and production feedback.\nFamiliarity with AI observability, including traces, token and cost analysis, latency measurement, failure classification, and quality dashboards.\nExperience building systems that use multiple models or specialized agents to complete complex tasks.\nUnderstanding of AI security concerns, including prompt injection, data leakage, excessive agency, insecure tool use, and supply-chain risks.\nExperience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.\nExperience with containers, Kubernetes, infrastructure as code, and CI/CD tooling.\nContributions to AI infrastructure, evaluation tooling, agent frameworks, or related open-source projects.\nExperience working in regulated or complex enterprise environments.\nExperience in consulting, professional services, solutions engineering, sales engineering, or another customer-facing technical role.\nA history of taking products from initial discovery through production launch and ongoing adoption.\nWhat Success Looks Like\nIn 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.\nAs you grow in the role, you will:\nTurn loosely defined client needs into clear, executable technical plans.\nDeliver AI-enabled products that perform reliably outside of controlled demonstrations.\nEstablish evaluation and observability practices that make quality measurable and regressions visible.\nImprove agent behavior by refining harnesses, loops, tools, graphs, context, and safeguards-not only by changing prompts or models.\nHelp client teams understand what their AI systems can do, where they can fail, and how they should be operated responsibly.\nCreate reusable technical patterns that accelerate future TribalScale engagements.\nBecome a trusted partner who can navigate uncertainty, solve difficult technical problems, and help promising ideas reach production.\nWhy TribalScale\nWork on high-impact challenges across industries and technology domains.\nBuild real products and production systems-not just recommendations or presentations.\nWork directly with clients and see the impact of your decisions.\nExplore emerging approaches to AI, agentic systems, product development, and software delivery.\nCollaborate with multidisciplinary teams that value experimentation and continuous learning.\nInfluence both client outcomes and TribalScale’s evolving technical practices.\nJoin an environment where ownership, diverse perspectives, and thoughtful innovation are encouraged.\nWhy Choose TribalScale\nAt 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.\nWe 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. Our mission to \"Right the Future\" is a call to action to make a significant impact in the world of innovation.\nDiversity: Our Collective Strength\nTribalScale 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.\nWe not only welcome but actively encourage applications from individuals of all abilities, ages, citizenships, marital statuses, and gender identities. Your unique perspective is the key to our collective innovation.\nShould you require any accommodations, we implore you to inform us. Our commitment to inclusivity knows no bounds, and we stand ready...","description_format":"text","description_chars":12058,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-10T21:29:11Z"}],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.45,"p_room":0.55,"age_days":51,"expected_fill_days":42,"reasons":["conf:8","win:tail"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/tribalscale-forward-deployed-agile-software-engineer","json_url":"https://alion.io/job/tribalscale-forward-deployed-agile-software-engineer.json","meta":{"generated_at":"2026-09-27T01:28:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1306,"day_limit":5000,"remaining_today":3694,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}