Forward Deployed Agile Software Engineer

TribalScale

. Partner directly with clients to understand objectives, workflows, technical environments, data, and operational constraints .

Posted 10/14/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI-enabled applications and systems, with a strong focus on harness engineering, evaluation frameworks, and integration with client environments. Proficient in translating business challenges into technical solutions while ensuring reliability, security, and user experience.

Highest-signal resume keywords

Python ProficiencyAI Evaluation Systems DesignHarness EngineeringGraph-Based OrchestrationAPI Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Application DevelopmentAgent Loops EngineeringData Pipeline DevelopmentFull-Stack Product DevelopmentCloud Infrastructure ManagementDistributed Systems KnowledgeModern Software Development PracticesPrototyping and Proofs of ConceptTechnical TroubleshootingEvaluation Framework Creation

Soft Skills

Excellent Communication SkillsHigh Degree of OwnershipCuriosity and EmpathyAbility to Work in Fast-Moving EnvironmentsCollaboration with Cross-Functional Teams

Tools & Technologies

KubernetesCI/CDCloud PlatformsContainersOpen-Source ProjectsAgent FrameworksWorkflow EnginesModel OrchestrationAI ObservabilityInfrastructure as Code

Certifications & Qualifications

Claude Certified Architect - FoundationsClaude Certified Architect - Professional

Industry Keywords

AI-Powered SystemsAgentic WorkflowsTechnical DiscoveryClient EngagementProduction Monitoring

Tech Stack

Tools & technologies

CloudDistributed 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, solution 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 covering prompts, tools, context, memory, permissions, runtime controls, observability, and feedback
Build and refine agent loops for planning, execution, observation, reflection, recovery, and termination
Model complex workflows using graphs, state machines, and orchestration patterns
Create evaluation frameworks for task 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 user interfaces, backend services, AI infrastructure, data workflows, and deployment pipelines
Implement safeguards, permission boundaries, approval steps, and fallbacks for autonomous systems
Instrument AI applications to inspect traces, intermediate states, failures, and performance
Identify and address 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 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 client engagements
Support technical discovery, solution demonstrations, workshops, and pre-sales conversations
Build trusted client and TribalScale 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, including infrastructure, context, tools, permissions, controls, and feedback mechanisms for reliable AI agents
Experience with agent loops, including planning, tool selection, execution, observation, reflection, recovery, and termination
Familiarity with graph-based orchestration, state machines, and multi-step workflows
Experience designing AI evaluation systems, including benchmarks, regression suites, model-graded evaluations, human review, and production monitoring
Understanding of prompts, context management, memory, retrieval, tool use, structured outputs, and model selection trade-offs
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 ambiguous customer problems to prototypes and secure, maintainable production systems
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 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 experience with agent frameworks, workflow engines, coding agents, model orchestration, RAG, embeddings, vector search, knowledge graphs, fine-tuning, model routing, AI observability, multi-model systems, AI security, cloud platforms, containers, Kubernetes, infrastructure as code, CI/CD, open-source projects, regulated enterprise environments, consulting, solutions engineering, sales engineering, and product launches
Claude Certified Architect - Foundations or Professional certification is nice to have

Benefits

Comp & perks

Equal opportunity employment and workplace culture
Commitment to diversity, inclusion, and accommodations for applicants
Collaboration with multidisciplinary teams
High-impact challenges across industries and technology domains
Opportunities to explore emerging approaches to AI, agentic systems, product development, and software delivery
Influence over client outcomes and TribalScale’s technical practices
Ownership, empowerment, meritocracy, and transparency-oriented environment
Work directly with clients and see the impact of decisions