Staff AI Engineer

About the role

Strider Technologies delivers strategic intelligence that helps organizations make faster, more confident decisions in an increasingly complex global environment. Using cutting-edge AI and proprietary methodologies, we transform open-source data into actionable insights that help protect technology, talent, and supply chains from nation-state risks. We are looking for an exceptionally motivated Staff AI Engineer to join Strider’s Context Engineering team.

Responsibilities

• Build and own services and features to support our Context Engineering organization, focusing on hybrid data search capabilities (using ElasticSearch and S3Vectors) at million to billion document scale.
• Optimize a variety of LLM-based data processing tasks: for example, entity disambiguation, document quality and relevance scoring, text extraction tasks.
• Design technical solutions and provide feedback on design documents and architectural decisions across the organization.
• Participate in code reviews and help improve practices for AI-assisted code review.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field
• 10+ years of experience
• Track record of setting technical direction and executing beyond the small team level
• Demonstrated examples of making architectural/technical bets that paid off, or course-corrected when they didn’t
• Experience shipping features and solutions that use LLMs in data heavy environments
• Experience with frontier model SDKs (OpenAI, Anthropic, etc.), open-source model providers and frameworks, agentic frameworks
• Ability to communicate complex technical concepts and engage with senior stakeholders across disciplines (engineering, product, executives)
• Self-motivated with excellent problem-solving skills and a strong attention to detail

Qualifications

• Strong opinions about best practices for agentic engineering and AI coding tools, and enthusiasm for further developing best practices
• Experience mentoring engineers and developing communities of practice within engineering groups
• Comfort and competence deploying features into AWS cloud infrastructure

Skills

• Experience with ElasticSearch and S3Vectors
• Experience with LLMs in data-heavy environments
• Experience with OpenAI, Anthropic, and other frontier model SDKs
• Experience with agentic frameworks
• Excellent communication skills
• Strong problem-solving skills

Benefits

• Competitive Compensation
• Company Equity Options
• Flexible PTO
• Wellness Reimbursement
• US Holidays (office closed)
• Paid Parental Leave
• Comprehensive Medical, Dental, and Vision Insurance
• 401(k) Plan

Pay

Details TBD

Schedule

Details TBD