Senior GenAI Engineer — Customer-Facing Full-Stack AI

Whitehall Resources Limited; Województwo mazowieckie; Presencial; PLN 350.000 - 650.000; Jornada completa

Descripción de la vacante

Whitehall Resources Limited is seeking an experienced AI Engineer to design and deliver production-grade AI-native software. You will own end-to-end LLM-enabled solutions, collaborate with customer teams, and drive architecture decisions for scalable deployments.

The role requires strong backend and frontend skills (Python/Node.js/Java, React/Angular) and deep experience with LangChain, Semantic Kernel, and vector search.

Formación

• 10+ years of software engineering experience, incl. customer-facing or embedded contexts.
• Backend (Python, Node.js, Java) and frontend (React, Angular) proficiency.
• Experience designing AI-native software for production environments.
• Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management.

Responsabilidades

• Own end-to-end delivery of LLM-enabled applications in agile sprints (backend, data orchestration, LLM pipelines, UI).
• Embed with customers in the field, including onsite work up to 30% travel.
• Build APIs (REST/GraphQL), orchestration pipelines, vector DB integrations, LLM frameworks, and UI components (React/Angular).
• Contribute to shared SDKs, tools, and platform roadmap.
• Ensure performance, reliability, and security with monitoring and observability.
• Deploy and operate in the cloud (AWS/Azure/GCP) with CI/CD, containers, and infra-as-code.
• Provide engineering leadership from zero to one and balance user value with scalability.

Conocimientos

Python

Node.js

Java

React

Angular

LLM tooling

LangChain

Semantic Kernel

Vector search

CI/CD

Herramientas

REST/GraphQL

AWS

Azure

GCP

Containers

IaC

Descripción del empleo

Whitehall Resources Limited is seeking an experienced AI Engineer to design and deliver production-grade AI-native software. You will own end-to-end LLM-enabled solutions, collaborate with customer teams, and drive architecture decisions for scalable deployments.

The role requires strong backend and frontend skills (Python/Node.js/Java, React/Angular) and deep experience with LangChain, Semantic Kernel, and vector search.