AI Automation Engineer/ Sr. AI Automation Engineer in United States Embassy at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Automation Engineer / Sr. AI Automation Engineer based in the United States.

This remote opportunity is ideal for an innovative software engineer who is passionate about building and deploying AI-powered solutions at scale. Working at the intersection of artificial intelligence, cloud engineering, and automation, you will transform business concepts into secure, production-ready applications that deliver measurable value. You will collaborate closely with business stakeholders and technical teams to develop intelligent agents, automate workflows, and integrate AI into enterprise platforms. From cloud deployment and DevOps to LLM-powered applications and system monitoring, you will help establish reliable, scalable AI capabilities across the organization. This role offers the opportunity to work with modern technologies, solve complex engineering challenges, and shape the future of enterprise AI adoption in a collaborative, fast-paced environment.

• Partner with business teams to transform AI proofs of concept into secure, scalable, production-ready applications, including dashboards, reporting tools, chatbots, support agents, and internal business applications.
• Design, develop, and deploy reusable AI agents, automation workflows, and intelligent integrations powered by large language models (LLMs).
• Integrate AI capabilities with enterprise platforms and business systems, including CRM, collaboration, ERP, and database solutions.
• Build and maintain cloud-native applications on a governed Google Cloud Platform (GCP) environment, ensuring reliability, scalability, and operational excellence.
• Implement authentication, access controls, secrets management, CI/CD pipelines, monitoring, logging, and version control to harden applications for production.
• Develop automated processes to maintain software dependencies, improve application security, and reduce operational overhead.
• Create evaluation frameworks, regression testing, and observability solutions to monitor AI model performance, retrieval quality, application health, and overall system reliability.
• Collaborate with cross-functional stakeholders to translate evolving business requirements into maintainable, high-quality software solutions while continuously improving AI engineering practices.

• 5+ years of experience designing, building, and deploying production software, automation solutions, or data-driven applications.
• Strong programming skills in Python and solid experience working with SQL and enterprise data environments.
• Hands-on experience deploying and operating cloud-native applications, preferably on Google Cloud Platform (GCP).
• Strong understanding of production engineering fundamentals, including authentication, identity management, secrets management, CI/CD, logging, monitoring, and infrastructure operations.
• Experience integrating enterprise applications through APIs and SaaS platforms.
• Ability to work directly with business stakeholders and translate functional requirements into scalable technical solutions.
• Experience building LLM-powered applications, AI agents, retrieval-augmented generation (RAG) pipelines, tool/function calling, or agentic workflows is highly desirable.
• Familiarity with AI evaluation and observability platforms such as LangSmith, Langfuse, Braintrust, or similar tools.
• Experience with vector databases and retrieval technologies, including Vertex AI Vector Search, Pinecone, pgvector, or equivalent solutions, is a plus.
• Strong analytical thinking, problem-solving, communication, collaboration, and continuous learning mindset.

• Competitive base salary ranging from $80,000 to $160,000 USD, based on experience, skills, and qualifications.
• Fully remote work opportunity within the United States.
• Comprehensive medical, dental, and vision insurance.
• Paid vacation and company holidays.
• Dedicated Health & Wellness Days.
• Birthday bonus day off.
• Eligibility for additional performance-based compensation, including bonus or commission, depending on the role.
• Flexible, collaborative work environment that supports professional growth and innovation.
• Inclusive culture that values diverse backgrounds, continuous learning, and career development.