Software Engineer (AI)

TL;DR

Software Engineer (AI): Designing and building intelligent search infrastructure for Slack AI, focusing on information retrieval, agentic search capabilities, and optimal search performance. Focus on developing retrieval-augmented generation (RAG) systems, query understanding, and ensuring scalability for real-time and deep research tasks.

Location: Onsite in Washington (Seattle, Bellevue), Texas (Austin), Georgia (Atlanta), or District of Columbia (Washington)

Company

hirify.global is a leading cloud-based software company known for its customer relationship management (CRM) platform and business applications, including Slack.

What you will do

• Design and build intelligent search infrastructure to power information retrieval across various Slack and enterprise data sources.
• Develop sophisticated agentic search capabilities including query understanding and context management to synthesize information.
• Ensure optimal search performance and scalability, from real-time responses to deep research tasks.
• Implement evaluation frameworks for continuous improvement of search quality and relevance.
• Collaborate across teams (AI/ML, Product, Design) to integrate search into broader Slack experiences and drive technical excellence.

Requirements

• 6+ years of software engineering experience building production web applications and distributed systems.
• Strong programming skills in languages such as Python, Java, Go, or similar, with experience in modern web frameworks.
• Background in search engines, ranking algorithms, indexing, or information retrieval systems.
• Experience building retrieval-augmented generation (RAG) systems, AI agents, or conversational AI applications.
• Expertise with microservices, APIs, databases, and building scalable backend systems.
• Experience with experimentation, A/B testing, and using metrics to drive product decisions.
• A related technical degree required.

Nice to have

• Background in machine learning, natural language processing, or working with large language models (LLMs).
• Experience with enterprise search platforms, federated search, or multi-source information retrieval.
• Experience building low-latency, high-throughput systems for real-time search and recommendations.
• Comfort working across the stack from backend services to frontend user interfaces.

Culture & Benefits

• Shape the future of work by building search intelligence that powers how millions of people find and use information.
• Work with cutting-edge technology at the intersection of AI, search, and conversational interfaces using LLMs and agentic systems.
• Own critical systems that directly impact user experience and enable new AI-powered workflows.
• Collaborate with world-class engineers, researchers, and product teams in an environment that values innovation and learning.
• Opportunities to learn, grow, and influence the direction of AI-powered search experiences in a rapidly evolving space.