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Fit analysis

The candidate possesses strong full-stack engineering skills, deep experience with complex data pipelines, and a proven ability to manage large-scale systems. However, the resume lacks any demonstrated experience with AI workflow orchestration (LangGraph) or the specific enterprise HR/ERP ecosystems required by the job description.

Where you fit

  • Full-Stack Development Proficiency: Expertise in modern frameworks like Next.js, React, and Node.js, complemented by backend skills in Rust, demonstrating versatility across multiple tech stacks.
  • Handling Complex Systems & Scale: Engineered telemetry pipelines for 1,800+ physical assets (Colony Watch) and managed multi-channel e-commerce data flows, proving ability to handle large, complex systems.
  • API Integration Mastery: Extensive experience integrating disparate systems using GraphQL (Hasura), third-party APIs, and bridging platforms like WooCommerce/Wordpress with central services.
  • Backend Architecture & Resilience: Developed secure Node.js/Express backends utilizing PostgreSQL and NGINX for B2B portals, demonstrating strong skills in building scalable, high-availability services.
  • Operational Ownership: Demonstrated proactive ownership by optimizing processes (e.g., 30% improvement in quote accuracy) and ensuring zero disruption during critical infrastructure rollouts.

Where you may struggle

  • AI Workflow Orchestration (LangGraph): The job requires hands-on expertise with LangGraph, which is not mentioned anywhere on the resume. This is a core technical requirement.
  • Specific Enterprise Ecosystems: There is no demonstrated experience with required enterprise platforms such as Workday, Oracle Fusion, SAP SuccessFactors, or UKG Pro WFM; this represents a significant integration risk.
  • AI/LLM Production Deployment: While the candidate builds real-time SaaS platforms, there is no explicit history of designing, developing, and deploying AI-driven applications or LLM workflows in production environments.
  • Technical Leadership Scope: The JD requires leading code reviews and managing daily offshore technical handoffs. While collaboration across time zones is mentioned, formal management of these specific leadership duties is not detailed.

Cover letter

Job description
About FullStack FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence. We're most proud of: Offering life-changing career opportunities to talented software professionals across the Americas. Building highly-skilled software development teams for hundreds of the world's greatest companies. Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users. Our 4.1-star rating on GlassDoor. Our client Net Promoter Score of 68, twice the industry average. The Position We're looking to hire a Senior AI Software Engineer (LangGraph) to join our team. You'll work with our incredible clients in one of two ways: Team Augmentation : You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis. Design & Build: You will work on a FullStack product team to build and deliver a product to our clients. What We Are Looking For 5+ years of professional software development and Enterprise Configuration APIs. Advanced English is required. Successful completion of a four-year college degree is required. 1-4 years of experience designing, developing, and deploying AI-driven applications and workflows in production. Hands-on expertise with LangGraph, including building, orchestrating, and managing complex AI workflows. Strong backend software engineering skills, with experience designing scalable services, APIs, and enterprise application integrations. Extensive experience with at least one enterprise ecosystem: Workday (WWS/SOAP, REST, EIB), Oracle Fusion (HDL, FSM, FBDI, REST), SAP SuccessFactors (OData v2/v4, MDF), or UKG Pro WFM. Strong history of technical leadership, specifically in leading code reviews and managing daily offshore technical handoffs. Demonstrated experience in effectively communicating complex architectural concepts and project progress to senior leadership. Proactive, ownership-driven mindset capable of balancing high-level strategy with deep, hands-on coding. Ability to work through new and difficult issues and contribute to libraries as needed. Ability to create and maintain continuous integration and delivery of applications. Forensic attention to detail. A positive mindset and a can-do attitude. Experience working on Agile/Scrum teams. Meaningful experience working on large, complex systems. Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon. Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them. What We Offer Competitive Salary. Paid Time Off (vacation, sick leave, parental leave, and holidays). 100% remote work. The ability to work with leading startups and Fortune 500 companies. Health, dental, and vision insurance. 401(k) w/ 4% match. Ample opportunity for career advancement. Continuing education opportunities. FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Learn more about our Applicants Privacy Notice .

Questions from the bot

Do you have hands-on experience with LangGraph? If so, what kind of complex AI workflows did you build or orchestrate?
Have you worked on projects involving the integration or API usage of major enterprise systems like Workday, SAP SuccessFactors, or Oracle Fusion?
Can you describe your process for deploying and monitoring an LLM-driven application from a prototype stage into a production environment?

Timeline

2026-10-17 21:50:58
scored 70: The candidate possesses strong full-stack engineering skills, deep experience with complex data pipelines, and a proven ability to manage large-scale systems. However, the resume lacks any demonstrated experience with AI workflow orchestration (LangGraph) or the specific enterprise HR/ERP ecosystems required by the job description.
2026-10-17 21:44:09
found Found via jobspy:zip_recruiter