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 for search and AI systems.

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
Search and information retrieval experience - Background in search engines, ranking algorithms, indexing, or information retrieval systems
RAG and agentic systems - Experience building retrieval-augmented generation systems, AI agents, or conversational AI applications
Distributed systems expertise - Experience with microservices, APIs, databases, and building scalable backend systems
Data-driven approach - Experience with experimentation, A/B testing, and using metrics to drive product decisions
Collaborative mindset - Strong communication skills and experience working with cross-functional teams including product managers, designers, and other engineers
Quality focus - Experience with testing, code reviews, and maintaining high-quality production systems
A related technical degree required
Nice to have AI/ML experience - Background in machine learning, natural language processing, or working with large language models (LLMs)
Enterprise search - Experience with enterprise search platforms, federated search, or multi-source information retrieval
Real-time systems - Experience building low-latency, high-throughput systems for real-time search and recommendations
Third-party integrations - Experience integrating with external APIs, data sources, or enterprise systems (Salesforce, Google Drive, etc.)
Evaluation and benchmarking - Background in search quality evaluation, relevance tuning, or AI system benchmarking
Full-stack capabilities - Comfort working across the stack from backend services to frontend user interfaces

Benefits

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaGoweb frameworkssearch enginesranking algorithmsindexingretrieval-augmented generationmicroservicesAPIs

Soft Skills

communication skillscollaborative mindsetquality focus

Certifications

related technical degree