Hiring: Principal Applied AI Engineer Company: Osanni Bio Location: San Francisco Bay Area Job Posted Time: 2026-09-16 19:37:44 Employment Type: Hybrid Target Skills & Keywords : AWS, Agile, Azure, GCP, LESS, LLM, RAG About the job Experience: •2 to 4 years of professional software engineering experience, or equivalent demonstrated depth through independent projects, open source work, or self-directed building in the LLM/AI space; years of tenure matter less here than evidence of genuine, hands-on depth. •4 years of professional software engineering experience, or equivalent demonstrated depth through independent projects, open source work, or self-directed building in the LLM/AI space; years of tenure matter less here than evidence of genuine, hands-on depth. Required Skills: •Design and build backend infrastructure for internal AI knowledge systems, including how information is structured, stored, and kept consistent and current as it grows. •Architect the data layer for these systems, with real influence over the approach, whether graph-based, vector-based, hybrid, or emerging methods. •Build infrastructure to support automated, multi-step research and reasoning workflows across distributed components. •Establish strong data logging and provenance practices so system outputs and decisions remain traceable over time. •Track the fast-evolving landscape of models, architectures, and orchestration approaches, and bring relevant advances into the systems you build. •Architect with a future migration path in mind, moving from cloud infrastructure toward a more isolated, private deployment environment. •Partner closely with the Senior Director, Discovery Innovation and collaborate with fellow members of the newly forming Discovery Innovation team to translate research direction into working technical systems. •Engage broadly across the organization, including science, business operations, and legal, to understand needs and deliver internal tools that advance efforts across every function. Qualifications: •Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience. •Hands-on working experience with modern agentic coding platforms (e.g., Claude Code, Codex, Cursor, or similar); this is a baseline expectation, not a nice-to-have. •A track record of building AI tools, for example having shipped real systems involving LLMs, RAG, or agents on your own initiative. •Cloud infrastructure experience (AWS, GCP, or Azure). •Comfort with ambiguity and a builder's mentality; you'll be given a strong vision and real ownership over how it's built. •Strong communication skills and the ability to work effectively as an early, foundational hire. •Based in or willing to relocate to the Bay Area; able to work on-site/hybrid. •The expected base pay range for this position is $235,000 - $255,000 plus bonus and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Compensation: •$235,000 - $255,000 / year •Competitive benefits and rewards package •The expected base pay range for this position is $235,000 - $255,000 plus bonus and comprehensive benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!