Forward Deployed Agile Software Engineer
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Job Summary
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 technologiesincluding artificial intelligenceto 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
- Transformation Experts: We transform traditional business models into agile AI-powered ecosystems.
- Strategic Visionaries: We navigate the uncharted waters of technological evolution.
- Product Virtuosos: We orchestrate the creation of world-class digital solutions.
- Code Optimizers: We leverage AI to refine and perfect digital systems.
Our Technological Toolkit
- Mobile & Web Development: (iOS Android React Native React )
- Voice-Activated Platforms: (Amazon Alexa Google Home)
- Connected Ecosystems: (Cars and Homes)
- Streaming Platforms: (Roku Fire TV Android TV tvOS)
The TribalScale Professional
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 callinga chance to make a lasting impact on the digital landscape.
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 partnertranslating 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 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 neededfrom 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 TribalScales engineering capabilities and future client engagements.
- Support technical discovery solution demonstrations workshops and pre-sales conversations when needed.
- 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.
- 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 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.
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 safeguardsnot 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 systemsnot 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 TribalScales evolving technical practices.
- Join an environment where ownership diverse perspectives and thoughtful innovation are encouraged.
Why Choose TribalScale
At TribalScale collaboration is at the heart of our innovative approach. We dont simply work for clients; we form partnerships building transformative solutions that redefine whats 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 isnt just celebratedits 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.
Diversity: Our Collective Strength
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. Your unique perspective is the key to our collective innovation.
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.
Required Experience:
IC
About Company
We are TribalScale — a global innovation partner transforming vision into reality with AI-powered engineering, human-centred design, and agility at scale.
