Senior Software Engineer (AI Applications) 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 a Senior Software Engineer (AI Applications) based in the United States.

This role offers the opportunity to design and build advanced AI-powered systems that transform digital learning experiences.
You will lead the architecture and implementation of intelligent agent systems, generative AI capabilities, and scalable software solutions.
The position combines deep technical expertise with product innovation, creating reliable and responsible AI applications.
You will work alongside engineers, researchers, and cross-functional teams to bring cutting-edge AI solutions from concept to production.
This is a high-impact individual contributor role where your technical leadership will shape the future of AI-driven educational technology.
You will contribute to meaningful products that improve learning outcomes while advancing safe and responsible AI development.

The Senior Software Engineer (AI Applications) is responsible for designing, developing, and scaling AI-powered software solutions with a focus on autonomous agent systems, generative AI integration, and reliable production applications. This role requires strong technical ownership, innovation, and collaboration across engineering and product teams.

• Design, build, and deploy advanced Generative AI agents with capabilities such as persistent memory, shared state management, and multi-step reasoning workflows.
• Architect and implement AI-enabled web applications that improve user experiences and deliver measurable product impact.
• Integrate large language models (LLMs) and multimodal AI technologies into existing platforms while ensuring performance, reliability, and safety.
• Develop evaluation frameworks for AI agents, including testing strategies, performance monitoring, and safety assessments.
• Build scalable backend services, APIs, and AI orchestration workflows supporting high-volume production environments.
• Partner with product, engineering, and research teams to translate user needs and complex workflows into production-ready AI capabilities.
• Establish best practices for secure AI development, responsible AI implementation, and trustworthy system behavior.
• Provide technical mentorship and guidance on AI architecture, LLM integration patterns, and autonomous system design.
• Drive technical initiatives from early prototypes through deployment and continuous improvement.

The ideal candidate combines strong software engineering expertise with hands-on experience building AI applications and agentic systems. This role requires technical depth, product-oriented thinking, and the ability to independently lead complex initiatives in a fast-moving environment.

• 5+ years of software engineering experience, including 2+ years operating at a senior or staff level leading significant technical initiatives.
• Proven experience designing and building complex AI agent systems, including tool calling, prompt optimization, and context engineering.
• Strong experience integrating large language models, prompt engineering techniques, and Retrieval-Augmented Generation (RAG) pipelines.
• Advanced programming skills in at least two of the following languages: Python, JavaScript/TypeScript, or C#.
• Experience deploying and managing applications on major cloud platforms such as AWS, Google Cloud Platform, or Azure.
• Experience with containerization, observability tools, and production-scale software systems.
• Proven ability to build robust full-stack applications, backend services, and APIs integrating AI models and complex workflows.
• Familiarity with vector databases and embedding models.
• Experience designing secure systems capable of handling untrusted code execution or complex user-generated content.
• Strong communication and collaboration skills with the ability to independently drive technical projects.
• Experience with AI agent evaluation frameworks, scalable inference pipelines, open tool protocols, browser automation, or AI infrastructure is a plus.
• Prior experience in education technology is preferred.
• Familiarity with AWS Bedrock and Strands Agents is a plus.

• Fully remote work environment with flexibility to support work-life balance.
• Remote office setup reimbursement to support an effective home workspace.
• Opportunity to work on highly scaled, mission-critical technology serving millions of learners and educators.
• Access to innovative AI projects shaping the future of digital learning experiences.
• Collaborative environment focused on responsible AI development and meaningful impact.
• Inclusive workplace culture that values diverse backgrounds, ideas, and experiences.
• Supportive benefits package and employee resources.