Customer Requirement Agent Engineer

BioArk Genome Engineering Operating System (BioArk GEOS) 

Project Vision 

• Current CRISPR software mainly focuses on guide RNA design or individual bioinformatics 

tasks, while successful genome engineering requires engineering strategy selection, feasibility 

analysis, laboratory planning, sequencing validation, quality control, and continuous 

optimization. 

• The BioArk AI CRISPR Engineering Platform is an AI Engineering System implementing a 

Design–Build–Test–Learn (DBTL) workflow. 

• Bioinformatics is treated as one component of a larger engineering ecosystem. 

• The platform leverages biomedical AI systems (e.g. Biomni) for biological reasoning while 

BioArk develops proprietary engineering intelligence, laboratory planning, sequencing 

interpretation and continuous learning.

Customer Requirement Intelligence Agent Engineers

• Role Summary: You will architect intelligent agents capable of interpreting complex customer requests and transforming them into structured, actionable engineering data.
• Key Responsibilities:
  • Design and implement NLP-based parsing modules to extract high-level engineering objectives from client communications.
  • Develop rigorous requirement clarification protocols to ensure project scope is clearly defined.
  • Build automated project ontology systems that map customer needs to internal engineering capabilities.
  • Create logic to generate machine-readable JSON workflow configurations based on interpreted data.
  • Integrate risk assessment frameworks to identify potential project bottlenecks at the requirement stage.
• Deliverables: Comprehensive Engineering Requirement Specifications, automated JSON workflow files, and detailed Project Risk Reports.
• Required Skills: Expert-level LLM and NLP application, Python programming, and advanced Prompt Engineering.