Technical Integrity · 3 months ago
Senior Staff / Principal AI or ML Engineer
Technical Integrity is leading the search for a rapidly growing startup developing AI systems that enhance organizational communication and decision-making. The role involves architecting and implementing core systems for an AI-powered collaboration platform, focusing on search quality and retrieval systems.
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Responsibilities
Architect and implement core systems for an AI-powered enterprise collaboration platform
Define, design, and deliver innovative solutions in distributed systems, backend logic, and AI integration
Lead hands-on coding while setting technical direction across a small, senior team
Collaborate closely with product, design, and AI research peers to shape both strategy and implementation
Ensure infrastructure reliability, scalability, and security through modern cloud and Kubernetes technologies
Work with other Senior Staff Engineers to foster a culture of technical excellence, autonomy, and curiosity
Utilize advanced information retrieval concepts (such as MRR and IDF) to develop and refine ranking models that improve the quality and relevance of search results
Collaborate across engineering and product teams to define ranking metrics, set quality benchmarks, and drive data-centric evaluations of search algorithms
Design, develop, and implement algorithmic strategies for ranking, including keyword matching, semantic analysis, and machine learning-based scoring techniques
Conduct offline and online experimentation (e.g., A/B tests) to assess improvements in search result quality using metrics like MRR, DCG, NDCG, and click-through rate
Qualification
Required
At least 7 years of experience in software engineering
Experience in architecting and implementing core systems for AI-powered platforms
Ability to define, design, and deliver innovative solutions in distributed systems, backend logic, and AI integration
Hands-on coding experience while setting technical direction across a team
Experience collaborating with product, design, and AI research teams
Knowledge of infrastructure reliability, scalability, and security through modern cloud and Kubernetes technologies
Experience in developing high-quality search and retrieval systems
Ability to design ranking algorithms grounded in modern information retrieval concepts
Experience building semantic and keyword-based scoring models
Ability to define metrics that determine search relevance and quality
Experience developing offline evaluation pipelines and online experimentation frameworks
Knowledge of metrics such as MRR, DCG/NDCG, and click-through rate
Experience utilizing advanced information retrieval concepts to develop and refine ranking models
Ability to collaborate across engineering and product teams to define ranking metrics and set quality benchmarks
Experience designing, developing, and implementing algorithmic strategies for ranking
Experience conducting offline and online experimentation to assess improvements in search result quality
Preferred
Strong analytical ability, judgment, and breadth of experience
Experience in backend and business logic development
Experience integrating with tools like Slack and Google Docs
Experience in startup environments and enterprise-scale thinking
Ability to work efficiently and sustainably within a 45–50 hour workweek
Curiosity about AI and LLM technologies
Strong communication skills and a collaborative, solution-oriented mindset
Benefits
Very solid Health benefits (Medical, Dental, and Vision)
401K match
Flexible work arrangements — Colorado-based 1-2 days per week in Boulder