Lead Software Engineer - AI Solutions

What You'll Do

• Define and evolve the architectural direction for AI services and initiatives
• Lead high-level and low-level design for major AI programs
• Establish architectural patterns and technical guidelines that other engineers follow
• Build and evolve scalable, API-driven AI services in Go
• Develop LLM-based solutions, including classification, extraction, structured generation, and RAG workflows
• Drive rapid experimentation and prototyping (often in Python), ensuring clear paths to production-ready implementations
• Define and enforce standards for evaluation, cost-awareness, and operational reliability across AI systems
• Mentor Senior AI Engineers through design reviews and technical guidance
• Collaborate with Staff Engineers when broader architectural alignment is required

Who You Are

• 7+ years of professional software engineering experience
• Strong proficiency in Go (GoLang) and experience building production-grade, API-driven services
• Proficiency in Python for experimentation, prototyping, and scripting
• 3+ years of experience building and deploying AI/ML systems in production environments
• Strong experience with modern LLM ecosystems (e.g., OpenAI, Anthropic, Hugging Face)
• Deep understanding of LLM-based solution patterns, including Retrieval-Augmented Generation (RAG), structured outputs, schema-driven generation, and agents/orchestration workflows
• Familiarity with MCP (Model Context Protocol) servers and orchestration approaches
• Experience evaluating LLM performance in production contexts, including prompt design, quality measurement, and model comparison
• Strong experience with cloud infrastructure (AWS, GCP, or Azure)
• Familiarity with vector databases and inference systems
• Strong SQL skills and familiarity with modern data storage technologies

Nice to Have

• Experience working with large taxonomies or structured classification systems
• Familiarity with frontend frameworks (React, Angular)

What Success Looks Like

• AI initiatives ship with strong architectural integrity and measurable business impact
• AI services are scalable, reliable, and cost-aware in production
• Clear architectural direction is reflected in design decisions and implementation standards
• Senior Engineers grow in capability through mentorship and architectural guidance
• Cross-functional collaboration results in well-aligned, well-executed AI solutions

Pay Transparency

Compensation Transparency: The national base salary range for this role is posted above in this job post. Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location. We also consider internal equity to help ensure fair and consistent pay practices across our teams.