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Forward Deployed Agile Software Engineer
TribalScale. Partner directly with clients to understand objectives, workflows, technical environments, data, and operational constraints .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying AI-enabled applications and agentic systems, with strong proficiency in Python and TypeScript. Capable of translating business challenges into technical solutions while ensuring quality, security, and user experience.
Highest-signal resume keywords
AI Application DevelopmentPython ProficiencyAgent Loop EngineeringGraph-Based OrchestrationAPI Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Model HarnessingEvaluation System DesignData Pipeline DevelopmentFull-Stack Product DevelopmentHarness EngineeringTechnical TroubleshootingCloud InfrastructureDistributed SystemsDatabase ManagementModern Software Development Practices
Soft Skills
Excellent Communication SkillsHigh Degree of OwnershipCuriosityEmpathyBias Toward Action
Tools & Technologies
KubernetesCI/CDContainersCloud PlatformsAI Security
Certifications & Qualifications
Claude Certified Architect
Industry Keywords
Agentic SystemsWorkflow EnginesRetrieval-Augmented GenerationKnowledge GraphsModel Routing Strategies
Tech Stack
Tools & technologiesCloudDistributed SystemsKubernetesPythonTypeScript
About the role
Key responsibilities & impact- Partner directly with clients to understand objectives, workflows, technical environments, data, and operational constraints
- Translate ambiguous business challenges into technical requirements, architectures, prototypes, and delivery plans
- Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products
- Engineer AI-model harnesses, including prompts, tools, context, memory, permissions, runtime controls, observability, and feedback mechanisms
- Build and refine agent loops for planning, tool selection, execution, observation, reflection, recovery, and termination
- Model complex workflows as graphs, state machines, or orchestration patterns
- Create evaluation frameworks measuring completion, accuracy, reliability, safety, latency, cost, and user value
- Develop prototypes and proofs of concept, validate them with users and evaluations, and evolve successful ideas into secure, scalable products
- Integrate solutions with client systems, enterprise data sources, cloud platforms, and third-party services
- Contribute across the stack, including interfaces, backend services, AI infrastructure, data workflows, and deployment pipelines
- Implement safeguards, permission boundaries, approval steps, and fallbacks
- Instrument AI applications to inspect traces, intermediate states, failures, and performance
- Identify and address hallucinations, looping, brittle tool calls, context loss, prompt injection, nondeterminism, and unsafe actions
- Troubleshoot technical and operational issues in client environments
- Communicate technical decisions, risks, trade-offs, and progress to technical and non-technical audiences
- Collaborate with product managers, designers, engineers, data specialists, security teams, and client stakeholders
- Establish automated testing, documentation, observability, security, and continuous delivery practices
- Capture reusable patterns, components, and insights for future engagements
- Support technical discovery, demonstrations, workshops, and pre-sales conversations
- Build trusted client relationships and contribute working software to meaningful business challenges
Requirements
What you’ll need- 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
- Practical understanding of harness engineering
- Experience building or working with agent loops
- Familiarity with graph-based orchestration, state machines, and multi-step workflows
- Experience designing evaluation systems for AI applications
- Understanding of 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 understand unfamiliar systems, technologies, and business domains quickly
- Ability to move from an ambiguous customer problem to a working prototype and production system
- Strong product judgment balancing 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
- Comfort working in fast-moving environments with evolving requirements and technical constraints
- High degree of ownership, curiosity, empathy, and bias toward action
- Ability to travel occasionally for client workshops or on-site delivery
- Nice-to-have: agent frameworks, workflow engines, coding agents, or custom model-orchestration systems
- Nice-to-have: retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, and model-routing strategies
- Nice-to-have: AI observability, cloud platforms, containers, Kubernetes, infrastructure as code, CI/CD, and AI security
- Nice-to-have: Claude Certified Architect certification or equivalent
Benefits
Comp & perks- 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
- Ownership, diverse perspectives, and thoughtful innovation are encouraged
- Equal employment opportunity and accommodations for applicants with disabilities