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Job Details

Skills

Python
GCP
Azure
Agentic AI
LLM
RAG

Summary

Responsibilities:

Design, develop, implement, support, and maintain applications based on business requirements, using approved technologies and coding standards.
Design, develop, implement, support, and maintain software components and systems to adhere to and satisfy engineering, scientific, regulatory, and manufacturing requirements.
Design and develop Agentic AI applications that automate multi-step workflows and solve real-world operational challenges (e.g., systems that interpret context, plan actions, call tools/services, and complete tasks end-to-end).
Apply secure coding practices to prevent security vulnerabilities in code and contribute to enterprise standards that enable safe, scalable Agentic AI adoption.
Integrate LLMs into SaaS applications via secure, robust service layers and APIs, including orchestration, evaluation, and implement modern GenAI patterns such as RAG (Retrieval-Augmented Generation)
Design and implement scalable backend services in Python and REST APIs that support AI/agent capabilities and product workflows.
Partner with UX/design and product stakeholders to deliver intuitive AI/agent user experiences for enterprise users.
Build, deploy, and operate cloud-native services in Microsoft Azure and Google Cloud Platform (Google Cloud Platform)
Collaborate with data engineering teams to ensure data quality, governance alignment, and performance for AI/agent use cases.
Containerize services using Docker and support CI/CD pipelines for reliable delivery.
Provide technical leadership as a senior individual contributor driving architecture, code quality, engineering best practices, and mentor team members.

Desired Background:

Demonstrated professional software engineering experience building SaaS applications with scalable backend services and modern frontends.
Experience integrating LLMs / Generative AI in cloud-based applications.
Experience building Agentic AI systems that automate real-world workflows and integrate with APIs/tools/services.
Strong proficiency in Python.
Strong experience with REST API design and implementation.
Experience with UI/UX development frameworks that include React, JavaScript, Svelte, Angular, TypeScript, HTML5/CSS3.
Cloud experience with Microsoft Azure and Google Cloud Platform (Google Cloud Platform).
Database experience with MongoDB, vector database Milvus, plus one or more relational databases (MS SQL, Oracle).
Experience with Docker/containerization, and Kubernetes based container orchestration.
Experience in contributing to application architecture and design.
Experience in data modeling, domain-driven design, and test-driven development.
Experience in Agile methodologies and Azure CI/CD automation.

Desired characteristics:

Leadership oriented: you realize you are part of a larger team and success is based off direct and indirect influence.
Relationship oriented: you enjoy building long term relationships with coworkers, customers, partners.
Driven: you want to win and have a ?get stuff done? attitude in everything you do
Fun: sense of humor is a requirement
Flexibility: you are comfortable working on a diverse team for a global company and in a fast-paced environment; you are adaptive and flexible and can work with other cultures; you are willing to accommodate other time zones as needed
Strategic: you are a quick thinker and problem solver
Highly collaborative: strong communication skills ? you succeed or fail as a team

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91121298
Position Id: 742
Posted 19 days ago

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Full-Stack Senior AI Software Engineer - Remote - Direct Client

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