Gen AI Front-End Engineer
Nesco Resource ·nescoresource.com
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Overview
Client is seeking a GenAI Front-End Engineer to build a reusable conversational and analytics experience that can be embedded into products owned by other teams. This role focuses on creating integration-ready user experiences that receive authentication, screen context, filters, and user actions from host applications while delivering rich AI-powered interactions.
The engineer will develop and operate embedded GenAI interfaces capable of displaying streamed responses, conversation history, tables, charts, citations, and analytics content through integration patterns such as micro-frontends, Web Components, embedded SDKs, module federation, or secure iframes.
Core Responsibilities
• Build reusable conversational and analytics experiences that can be embedded within host applications owned by other teams.
• Design and implement integration approaches using micro-frontends, Web Components, embedded SDKs, module federation, or secure iframe patterns.
• Develop clean integration APIs, SDK contracts, callbacks, events, and versioned interfaces for host application consumption.
• Capture and utilize host-application context, including active pages, filters, selected objects, and user actions.
• Build streaming, multi-turn GenAI experiences with clarification workflows, conversation history, and robust error handling.
• Render structured AI responses, including tables, charts, citations, and reusable result components.
• Integrate REST and streaming APIs while managing authentication, authorization, and token handling.
Essential Qualifications, Skills, and Technologies
• Strong production experience with React and TypeScript.
• Proven experience embedding a UI, service, or micro-frontend within another application.
• Experience designing integration APIs, SDK contracts, callbacks, events, and versioned interfaces.
• Experience capturing and utilizing host-application context such as active screens, filters, selected objects, and user actions.
• Experience building streaming, multi-turn GenAI interfaces with clarification flows, conversation history, and error handling.
• Experience rendering structured responses, including tables, charts, citations, and reusable results.
• Experience integrating REST APIs, streaming APIs, authentication mechanisms, and token management.
Preferred Skills or Experience
• Experience building reusable UI SDKs or components consumed by multiple host applications.
• Experience with micro-frontends, Web Components, module federation, or secure iframe integration patterns.
• Familiarity with MCP clients, embedded analytics platforms, or enterprise copilot products.
• Familiarity with AWS, Amazon Bedrock, and AgentCore-backed applications.
Work Details
• Bay Area preferred, with the ability to work from the office 1–2 days per week.
• Candidates outside the Bay Area must provide 4–6 hours of daily working overlap with Pacific Time.
Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.
Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Client is seeking a GenAI Front-End Engineer to build a reusable conversational and analytics experience that can be embedded into products owned by other teams. This role focuses on creating integration-ready user experiences that receive authentication, screen context, filters, and user actions from host applications while delivering rich AI-powered interactions.
The engineer will develop and operate embedded GenAI interfaces capable of displaying streamed responses, conversation history, tables, charts, citations, and analytics content through integration patterns such as micro-frontends, Web Components, embedded SDKs, module federation, or secure iframes.
Core Responsibilities
• Build reusable conversational and analytics experiences that can be embedded within host applications owned by other teams.
• Design and implement integration approaches using micro-frontends, Web Components, embedded SDKs, module federation, or secure iframe patterns.
• Develop clean integration APIs, SDK contracts, callbacks, events, and versioned interfaces for host application consumption.
• Capture and utilize host-application context, including active pages, filters, selected objects, and user actions.
• Build streaming, multi-turn GenAI experiences with clarification workflows, conversation history, and robust error handling.
• Render structured AI responses, including tables, charts, citations, and reusable result components.
• Integrate REST and streaming APIs while managing authentication, authorization, and token handling.
Essential Qualifications, Skills, and Technologies
• Strong production experience with React and TypeScript.
• Proven experience embedding a UI, service, or micro-frontend within another application.
• Experience designing integration APIs, SDK contracts, callbacks, events, and versioned interfaces.
• Experience capturing and utilizing host-application context such as active screens, filters, selected objects, and user actions.
• Experience building streaming, multi-turn GenAI interfaces with clarification flows, conversation history, and error handling.
• Experience rendering structured responses, including tables, charts, citations, and reusable results.
• Experience integrating REST APIs, streaming APIs, authentication mechanisms, and token management.
Preferred Skills or Experience
• Experience building reusable UI SDKs or components consumed by multiple host applications.
• Experience with micro-frontends, Web Components, module federation, or secure iframe integration patterns.
• Familiarity with MCP clients, embedded analytics platforms, or enterprise copilot products.
• Familiarity with AWS, Amazon Bedrock, and AgentCore-backed applications.
Work Details
• Bay Area preferred, with the ability to work from the office 1–2 days per week.
• Candidates outside the Bay Area must provide 4–6 hours of daily working overlap with Pacific Time.
Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.
Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Frequently asked questions
Who is hiring for the Gen AI Front-End Engineer role?
Nesco Resource is hiring for the Gen AI Front-End Engineer position, a Shazamme client. Apply directly on the employer's career site.
Where is the Gen AI Front-End Engineer job located?
The Gen AI Front-End Engineer role with Nesco Resource is based in South San Francisco, CA, US.
What does the Gen AI Front-End Engineer role pay?
Nesco Resource lists the Gen AI Front-End Engineer role at USD 43–94 per hour.
Is the Gen AI Front-End Engineer role full-time or contract?
This is a full time position at Nesco Resource.
What experience level is the Gen AI Front-End Engineer role?
The Gen AI Front-End Engineer position is aimed at mid-level candidates.
How do I apply for the Gen AI Front-End Engineer role at Nesco Resource?
Apply directly on Nesco Resource's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.