Senior Full Stack Developer, AI

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

EX Squared

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

EX Squared is a digital product and experience consultancy that helps enterprises move AI and digital initiatives from ambition into production. Since 2001 the firm has delivered strategy, UX/UI and multi-channel digital experiences plus engineering and IT infrastructure work, and specializes in GenAI, machine learning, computer vision, and NLP. EX Squared is a certified Optimizely and Sitecore partner and focuses on building enterprise-scale digital products and advanced AI-driven solutions for large B2B clients.

📋 Description

• Design and build production-grade AI agents that interpret goals, maintain state, plan and execute multi-step workflows, call tools, evaluate outcomes, retry when appropriate, escalate when necessary, and fail safely. • Define agent architectures, including orchestration patterns, task decomposition, memory and context strategies, tool boundaries, human approval points, and recovery paths. • Develop reusable agent tools, skills, and MCP-compatible integrations connecting agents with APIs, enterprise data, business systems, and delivery workflows. • Build and maintain responsive full-stack applications, including front-end interfaces, APIs, back-end services, authentication, data flows, and cloud-hosted components. • Integrate agentic capabilities into broader digital products, ensuring reliable coordination among agent actions, application state, user experiences, APIs, and existing systems. • Define structured and typed input/output contracts for agents, tools, and skills using schemas, validation, constrained response formats, and consistent error handling. • Build evaluation pipelines using representative datasets, regression suites, automated scoring, human review, and measurable quality thresholds. • Implement permissions, guardrails, auditability, observability, structured logging, and graceful failure handling for secure and predictable production operation. • Manage the prompt and instruction lifecycle for assigned agents and skills, including version-controlled templates, reproducible testing, change evaluation, and release management. • Collaborate with multidisciplinary teams to identify appropriate agent use cases and translate business objectives into complete technical solutions. • Contribute to technical planning, architecture decisions, estimates, implementation strategies, and risk identification. • Support testing, debugging, deployment, monitoring, and ongoing production operations.

🎯 Requirements

• At least 5 years of software engineering experience, including ownership of complex full-stack web applications in agile environments. • Hands-on experience building agentic software systems beyond using AI coding assistants or adding a conversational model to an application. • Demonstrated experience developing multi-step agents that use tools or APIs, maintain context or state, validate results, and manage failures or human handoffs. • Strong full-stack experience covering front-end development, APIs, back-end services, data integrations, authentication, testing, debugging, deployment, and production support. • Experience with agent planning, task decomposition, tool selection, action execution, result validation, and iterative workflows. • Knowledge of tool calling, function calling, structured outputs, deterministic routing, state management, memory, and human-in-the-loop controls. • Experience connecting agents to enterprise systems and data through APIs, MCP-compatible tools, retrieval patterns, and secure integrations. • Familiarity with agent orchestration approaches or frameworks such as LangGraph, LangChain, AutoGen, state-machine agents, multi-agent coordination, or custom solutions. • Strong prompt and instruction design skills, including structured context, examples, schema enforcement, output constraints, and reusable patterns. • Ability to evaluate agent behavior across task success, tool selection, output quality, latency, cost, safety, and failure recovery. • Strong knowledge of Git-based version control, pull request practices, automated testing, CI/CD pipelines, and cloud application delivery. • Experience with component-based front ends, RESTful APIs, server-side application logic, event-driven integrations, and cloud-hosted services. • Ability to translate business requirements into agent designs, application architecture, technical plans, estimates, and implementation approaches. • Strong communication, collaboration, mentoring, and technical documentation skills.

🏖️ Benefits

• Access to learning platforms and professional development opportunities • Flexible work environment • Collaborative and multicultural teams