Senior Software Engineer (AI)

Location: Bellevue, United States. On-site.

Salary: $180K–$230K base salary annually.

Company

hirify.global develops enterprise software focused on automation, AI, and intelligent applications.

What you will do

• Design, develop, and scale platform services for AI agents, evaluations, memory, context management, continuous learning, and intelligent document processing.
• Build and operate production GenAI applications, including LLM-powered products, RAG pipelines, agentic workflows, and document understanding solutions.
• Develop highly available, scalable, cloud-native services with asynchronous processing, concurrency, fault tolerance, security, and performance foundations.
• Create evaluation frameworks, observability, monitoring, and feedback mechanisms to improve AI quality, accuracy, reliability, and performance.
• Own solutions end to end, from ambiguous requirements and technical design through implementation, testing, deployment, and production operations.
• Collaborate with Product Managers, Forward Deployed Engineers, customers, and engineering teams; contribute to architecture, technical decisions, mentoring, and engineering best practices.

Requirements

• Strong professional software engineering experience building, shipping, and operating complex production-grade applications, ideally in enterprise SaaS or large-scale cloud platforms.
• Deep understanding of distributed systems, backend architecture, microservices, APIs, and cloud-native development.
• Hands-on experience building and deploying production GenAI applications, such as LLM-powered products, RAG systems, AI agents, intelligent document processing, or AI-driven enterprise workflows.
• Strong programming skills in Python, C#, or Java, with experience in TypeScript or an interest in developing full-stack capabilities.
• Experience designing systems for scalability, reliability, performance, security, and maintainability.
• Understanding of practical GenAI engineering challenges, including context management, model behavior, retrieval quality, evaluation, latency, and cost optimization.
• Ability to navigate ambiguous technical challenges, make sound architectural decisions, and independently deliver high-quality solutions.
• Strong product instincts and ability to understand the end-to-end customer experience beyond individual services or components.
• Excellent collaboration and communication skills across engineering, product, and customer-facing teams.

Nice to have

• Experience building AI evaluation frameworks, online or offline evaluation pipelines, or feedback-driven improvement systems.
• Experience with agent memory, persistent context, continuous learning, reinforcement learning from human feedback, or other AI optimization techniques.
• Experience developing agentic systems involving orchestration, tool calling, planning, state management, or multi-step execution.
• Deep experience with document intelligence, including OCR, parsing, chunking strategies, embeddings, vector databases, hybrid search, reranking, and grounding.
• Experience improving production AI reliability and observability through tracing, quality monitoring, failure analysis, and evaluation-driven development.
• Experience building enterprise AI platforms, developer infrastructure, search and retrieval systems, or large-scale cloud services.
• Experience collaborating directly with customers to translate complex business requirements into production software.

Culture & Benefits

• Work in an engineering environment focused on reliable, secure, scalable enterprise AI and automation.
• Contribute to a diverse and inclusive workplace with equal opportunities.
• Reasonable accommodations are available for candidates upon request.
• Work arrangements vary by role and business needs; this position is identified as office-based and on-site.

Hiring process

• Applications are assessed on a rolling basis.
• The application window may change or close once a qualified candidate is selected.