About careeraxis
careeraxis is a global leader in product lifecycle management (PLM) technology, delivering innovative software platforms that empower retailers, fashion houses, footwear brands, luxury goods manufacturers, and consumer‑goods companies to bring products to market faster, smarter, and more sustainably. Our cloud‑native SaaS solutions streamline everything from concept design and material sourcing to quality control, pricing, and final catalog publication. By combining deep industry expertise with cutting‑edge artificial intelligence, careeraxis helps customers navigate the rapid pace of today’s consumer markets while maintaining the agility required for tomorrow’s opportunities.
Role Overview
The AI Chat Integration Engineer at careeraxis is a senior‑level, system‑focused technologist who will design, build, and scale AI‑driven conversational interfaces across our suite of PLM applications. This role sits within the R&D | AI & Platform Engineering department and reports directly to the Head of AI & Automation. You will partner with product managers, AI/ML researchers, cloud infrastructure specialists, and DevOps engineers to deliver real‑time, secure, and highly performant chat experiences that enhance pre‑sales, post‑sales, and product‑support workflows for our enterprise customers.
Key Responsibilities
- Architect Scalable Chat Integration Patterns – Design reusable, type‑safe integration frameworks that embed AI‑powered conversational agents into careeraxis’s web, mobile, and enterprise platforms.
- Collaborate with AI/ML Teams – Work closely with data scientists and machine‑learning engineers to fine‑tune conversational models, ensuring that chat interactions are contextually relevant, accurate, and continuously improving.
- Develop Robust APIs & UI Components – Create secure, high‑throughput RESTful and GraphQL APIs using TypeScript and Node.js, and build modular React components (leveraging state‑management libraries) that can be easily reused across multiple product lines.
- Drive Containerization & Microservices Strategy – Lead the Docker‑based containerization of chat services, orchestrate deployments with Kubernetes or serverless runtimes, and enforce service‑boundary best practices.
- Optimize System Performance & Security – Implement performance‑tuning techniques, latency reduction strategies, and security hardening measures to guarantee reliable AI inference at scale.
- Champion DevOps & CI/CD Excellence – Enhance continuous integration and delivery pipelines, automate testing workflows, and collaborate with the DevOps team to achieve rapid, repeatable, and secure releases.
- Mentor & Advocate for Developer Experience – Promote best practices in type safety, API standardization, and documentation, while fostering a culture of knowledge sharing and continuous improvement.
- Cross‑Functional Communication – Serve as the technical liaison between product, engineering, and customer success teams to translate business requirements into actionable technical solutions.
Essential Qualifications
- 5+ years of professional experience with TypeScript, Node.js, and React (or equivalent front‑end frameworks).
- Proven track record designing, documenting, and securing scalable RESTful and GraphQL APIs.
- Hands‑on experience building and deploying AI‑driven chat or conversational agents in a SaaS environment.
- Deep understanding of microservices architecture, containerization (Docker), and orchestration platforms (Kubernetes or comparable).
- Strong DevOps mindset with experience automating CI/CD pipelines using industry‑standard tools.
- Demonstrated ability to solve complex integration challenges with a focus on performance, reliability, and security.
- Excellent analytical and systematic thinking, coupled with a collaborative, team‑first attitude.
Preferred Qualifications
- Experience with additional front‑end technologies such as Vue.js or Angular.
- Familiarity with Python scripting for data preprocessing or auxiliary automation tasks.
- Background in deploying solutions on major cloud platforms (e.g., leading public cloud providers).
- Knowledge of serverless architectures and event‑driven design patterns.
- Exposure to automated testing frameworks for UI and API validation (e.g., Cypress, Jest).
- Prior work in high‑tech product organizations, especially those focused on AI or machine‑learning services.
Core Skills & Competencies
- Technical Excellence – Mastery of TypeScript, Node.js, React, and modern API design principles.
- System Architecture Vision – Ability to envision and implement end‑to‑end solutions that balance scalability, maintainability, and developer ergonomics.
- Performance Optimization – Skilled in profiling, benchmarking, and tuning AI inference pipelines for low latency.
- Security Awareness – Proactive approach to threat modeling, data protection, and compliance within conversational interfaces.
- Collaboration & Communication – Strong written and verbal communication skills, capable of translating technical concepts for non‑technical stakeholders.
- Continuous Learning – Passion for staying current with emerging AI, cloud, and DevOps technologies.
What You’ll Gain – Career Growth & Learning Opportunities
At careeraxis, you will be at the forefront of AI‑driven product innovation. You will have direct access to senior leadership, participate in cross‑functional hackathons, and receive mentorship from industry veterans who have built world‑class SaaS platforms. The role offers a clear pathway to senior architect or principal engineering positions, with opportunities to lead larger AI initiatives, influence product strategy, and contribute to open‑source projects that shape the future of conversational AI in the PLM space.
Work Environment & Culture
careeraxis cultivates an inclusive, high‑performance culture where curiosity is rewarded and diverse perspectives are celebrated. Our teams operate in a hybrid model, combining the flexibility of remote work with collaborative in‑person sessions at modern office hubs across North America. We emphasize psychological safety, continuous feedback, and a growth‑mindset philosophy that encourages every employee to experiment, iterate, and own their professional development.
Compensation, Benefits & Perks
We offer a competitive total‑reward package that includes a base salary ranging from $170,000 to $220,000 USD, performance‑based bonuses, and equity participation. Comprehensive health, dental, and vision plans, generous paid time off, parental leave, and a robust retirement savings match are standard. Additional perks include a learning and development stipend, wellness programs, flexible work arrangements, and access to cutting‑edge AI research resources.
How to Apply
If you are excited about shaping the next generation of AI‑enabled conversational experiences and thrive in a fast‑paced, innovative SaaS environment, we want to hear from you. Please submit your resume and a brief cover letter outlining your most relevant achievements to the careeraxis careers portal. Join us and help transform how global brands bring products to life through intelligent, seamless chat interactions.
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