Senior Software Engineer, AI

Stord

. Design and build AI platform features including agent tool systems, prompt pipelines, integration APIs, and edge-deployed services .

Posted 9/17/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI platform features, including TypeScript services, prompt engineering, and integration APIs. Capable of mentoring engineers and collaborating effectively with cross-functional teams to deliver high-quality, production-ready solutions.

Highest-signal resume keywords

TypeScript DevelopmentPrompt EngineeringRESTful API DesignCloudflare ExperienceElixir/Phoenix Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptPrompt EngineeringSQLRESTful APIsOpenAPI SpecificationsEvent-Driven ArchitectureCloudflare WorkersDurable ObjectsAnthropic AI SDKHigh-Availability Services

Soft Skills

Strong CommunicationCollaborationOwnershipAccountabilityLearning Agility

Tools & Technologies

OpenTelemetryDatadogGCPAWSHono

Industry Keywords

LogisticsE-CommerceSupply ChainMulti-Tenant SystemsHuman-in-the-Loop Patterns

Tech Stack

Tools & technologies

AWSElixirGoogle Cloud PlatformSQLTypeScript

About the role

Key responsibilities & impact

Design and build AI platform features including agent tool systems, prompt pipelines, integration APIs, and edge-deployed services
Build TypeScript services using Hono, Cloudflare Workers, Durable Objects, D1/Drizzle, and the Anthropic AI SDK
Build scope-aware tool systems exposing orders, inventory, and knowledge-base capabilities to AI agents
Design fault-tolerant integrations with downstream Elixir/Phoenix services
Own features from technical design through implementation, testing, deployment, and production monitoring
Build agentic AI features including tool calling, context management, multi-step workflows, and confidence-based routing
Implement prompt engineering, evaluation frameworks, and observability
Integrate machine-learning model outputs through API layers with Data Scientists
Contribute to agent orchestration, skill registries, and human-in-the-loop patterns
Contribute to architecture through design documents, code reviews, and technical discussions
Mentor junior and mid-level engineers
Identify technical risks, propose improvements, and advocate for quality
Collaborate with Product Management and Design on feature development
Support product engineering teams adopting AI capabilities
Participate in sprint planning, design reviews, and cross-team syncs

Requirements

What you’ll need

TypeScript (2+ years in production)
Experience building and shipping LLM-powered or agentic features in production
Experience with prompt engineering, tool/function calling, and context management
Experience building stateful or high-availability services
Experience designing and consuming RESTful APIs, OpenAPI specifications, and event-driven architectures
Strong SQL fundamentals
Hands-on experience with Cloudflare, GCP, or AWS
Experience instrumenting production systems with OpenTelemetry, Datadog, or similar
Strong communication, collaboration, ownership, accountability, production mindset, learning agility, and independent technical judgment
Elixir/Phoenix, Cloudflare developer platform, Anthropic Claude, AI SDK, MCP, logistics/e-commerce/supply chain, WebSocket, scope-based authorization, multi-tenant systems, or open-source contributions are nice to have