Lead Software Engineer, Applied AI (Frontend Leading)

Job summary

Design and build end-to-end GenAI applications, focusing on intuitive, accessible, performant web interfaces and client-side API integrations. Develop reusable frontend components and design systems, integrate LLM experiences, and collaborate with product and design teams while ensuring security, observability, and test coverage.

Job details

Our Business Technology organization builds secure and intelligent internal platforms that power our global workforce. As a Lead Software Engineer, Applied AI (Frontend Leading), you will build intuitive, performant user interfaces and frontend integration libraries that make Generative AI (GenAI) and intelligent automation accessible and useful across IT, HR, Finance, Sales, Marketing, and Customer Support. In this role, you will bridge the gap between complex LLM orchestration and enterprise user experience, ensuring our internal teams can seamlessly adopt and trust AI-driven tools. Req.#1090018301 The recruiting efforts for this position are intended to fill an existing vacancy for a new position. Responsibilities Design and build end-to-end GenAI-powered applications, emphasizing intuitive web-based UIs and performant client-side API integrations Develop responsive, accessible frontend interfaces using React, TypeScript, or Vue, engineered for streaming responses and low latency Build and maintain a library of reusable frontend components, hooks, and design systems for enterprise GenAI applications Implement LLM-based experiences using frameworks like LangChain or LlamaIndex with leading model providers (OpenAI, Claude, Gemini, etc.) Collaborate closely with designers and product managers to iterate rapidly on novel AI UX patterns (chat assistants, prompt builders, feedback loops) Ensure top-tier security, accessibility (a11y), observability, and test coverage across client-side and full-stack implementations Requirements Frontend Mastery: 5+ years of production experience with React, TypeScript, or Vue for enterprise web applications Engineering Seniority: 5–8 years of software engineering experience across the full web stack (frontend UIs, REST APIs, microservices) AI Application Integration: 2+ years of experience integrating GenAI features, LLM APIs, and prompt UI patterns into web applications Python & Cloud Services: Strong Python backend development skills and 2+ years of experience consuming/building cloud microservices on AWS, Docker, and REST APIs Component Libraries: Proven experience building, documenting, and maintaining reusable component libraries, design systems, and custom hooks Nice to have Conversational UX & Streaming: Real-time streaming UX patterns (SSE/WebSockets), prompt builders, citations, and summary UI components Web Accessibility (a11y): Deep knowledge of WCAG 2.1 AA compliance and accessible UI component architecture LangChain for JavaScript: Client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration RAG & Vector Search: Familiarity with RAG pipelines, vector search (Pinecone, OpenSearch), and embedding concepts AI Evaluation & UX: Experience with AI evaluation tooling, feedback loops, and guardrails in user interfaces We offer Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid) Life and AD&D Insurance (Company Paid) Employee Assistance Program (Company Paid) Telehealth (Company Paid) Short-term Disability (Company Paid) Long-Term Disability Paid Time Off (including vacation and sick days) Registered Retirement Savings Plan (RRSP) with Company match Maternity/Parental/Adoption Leave Top-up Employee Stock Purchase Program Critical Illness Insurance Employee Discounts Unlimited access to LinkedIn learning solutions This posting includes a salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training, the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: CA$150,000-CA$165,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position. An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management. EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. Engineer the Future with a Career at EPAM

What you’ll do

Design and build end-to-end GenAI applications, focusing on intuitive, accessible, performant web interfaces and client-side API integrations. Develop reusable frontend components and design systems, integrate LLM experiences, and collaborate with product and design teams while ensuring security, observability, and test coverage.

Requirements

Requires 5+ years of production experience with React, TypeScript, or Vue and 5–8 years of full-stack software engineering experience. Candidates should also have 2+ years integrating GenAI and LLM features, strong Python skills, cloud microservices experience with AWS, Docker, and REST APIs, and experience maintaining reusable component libraries.

Benefits

• Extended Healthcare
• Prescription Drug Coverage
• Dental Insurance
• Vision Insurance
• Healthcare Spending Account
• Life Insurance
• Accidental Death and Dismemberment Insurance
• Employee Assistance Program
• Telehealth
• Short-Term Disability Insurance
• Long-Term Disability Insurance
• Paid Time Off
• Registered Retirement Savings Plan with Company Match
• Maternity, Parental, and Adoption Leave Top-Up
• Employee Stock Purchase Program
• Critical Illness Insurance
• Employee Discounts
• LinkedIn Learning Access

Listed skills

• React · Preferred
• TypeScript · Preferred
• Vue.js · Preferred
• Python · Preferred
• Amazon Web Services · Preferred
• Docker · Preferred
• REST APIs · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• React
• TypeScript
• Vue
• Generative AI
• Large Language Models
• Python
• AWS
• Docker
• REST APIs
• Microservices
• Component Libraries
• Design Systems
• LangChain
• LlamaIndex
• Web Accessibility
• Streaming User Experiences

Job areas

• Software
• Technology
• Engineering
• Management & Leadership

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