2 дня назад
Software Engineer (AI)
68 911 - 161 544$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Developing Python-based services, APIs, AI-enabled applications, and agent workflows deployed on Google Cloud with an accent on generative AI, conversational experiences, and responsible engineering practices. Focus on designing integrations, optimizing agent behavior and reliability, and building secure, observable applications for enterprise and customer-service use cases.
Location: Hybrid role based in Nashville or Atlanta, United States
Salary: $68,911–$161,544 per year base compensation
Company
A global business and technology transformation partner delivering strategy, design, engineering, cloud, data, and AI solutions for enterprises and society.
What you will do
- Develop and integrate Python-based services, REST APIs, and AI-enabled applications.
- Build agent workflows using prompts, tools, APIs, enterprise knowledge, and structured data.
- Deploy and operate applications on Google Cloud using secure, observable, and repeatable engineering practices.
- Configure conversational and customer-experience solutions, including virtual agents, agent assistance, and workflow automation.
- Prototype solutions, translate business needs into technical outcomes, and troubleshoot integrations, latency, reliability, and user experience.
- Create technical documentation, deployment runbooks, and demonstrations while applying responsible AI, security, access-control, and data-handling practices.
Requirements
- Strong Python programming skills and experience with REST APIs, JSON, webhooks, and system integration.
- Hands-on Google Cloud application development, deployment, logging, and monitoring experience.
- Working knowledge of Git, CI/CD, Docker, and basic SQL and data handling.
- Understanding of generative AI, LLMs, prompt engineering, RAG, and AI agents.
- Strong analytical, debugging, communication, troubleshooting, and learning skills.
- Willingness to learn and improve skills in Agentic AI or Google Gemini Enterprise.
Nice to have
- Experience with Genesys Cloud, NICE CXone, Amazon Connect, Dialogflow, or a similar contact-center or conversational platform.
- Experience designing customer journeys and conversation flows.
Culture & Benefits
- Collaborative work with cross-functional teams and clients.
- Full-time employment with paid vacation, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, subject to local policy and eligibility.
- Retirement savings plans, including 401(k) in the United States.
- Life and disability insurance and employee assistance programs.
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