- Build AI-Enriched Solutions: Own the development of AI-enhanced features and tools within Genome, working from backend to frontend, with full-stack development responsibility
- Build, extend, and refine modular, reusable components, ensuring they fit seamlessly into Genome’s existing architecture
- Apply AI-assisted development techniques and tools to rapidly develop prototypes and scalable solutions
- Code & Prompt Engineering: Use Python to integrate various AI services and APIs (like OpenAI, Azure AI, Amazon Bedrock, and Google Vertex) to create cohesive, intelligent systems
- Craft and optimize AI prompts for LLMs (like GPT, LLaMa, Claude) to ensure accurate, contextual, and useful outputs.
- Feasibility Assessment: Collaborate with stakeholders to understand project goals and assess feasibility
- Deconstruct business requirements into action plans, prioritizing deliverables that drive the greatest impact.
- Collaboration & Communication: Work with other team members in a collaborative manner
- Communicate effectively within the team and to stakeholders
- Outcome-oriented problem solver who sees the bigger picture and understands how specific features contribute to business goals
- Ability to translate business needs into actionable technical requirements
- Sensitivity to user experience, ensuring tools are intuitive and effective for end users
- Able to break down complex challenges into simpler, solvable elementsAwareness of "AI drift" — knowing when AI models or prompts are producing suboptimal results and taking corrective action
- Fast mover who prioritizes the first practical step towards a solution while maintaining a focus on continuous improvement
- Creative and efficient approach to coding, with a passion for finding shortcuts and automation opportunities
- Lifelong learner with a passion for generative AI, always seeking to push the limits of what's possible
- Comfortable starting from scratch where appropriate, with no strong emotional attachment to code
- Adaptable to changing project requirements and priorities.
- Full-stack development skills, from database management to backend and frontend development
- Ability to navigate and leverage various systems, tools, and frameworks — with no "one-size-fits-all" mentality
- Comfortable with developer tools and technologies like Git and Cursor
- Experience with APIs, including OpenAI, Azure AI, Amazon Bedrock, and Google VertexHands-on experience with Python, particularly for AI integration and prompt engineering
- Committed to excellence and detail-oriented execution
- Determined problem-solver with a "get it done" attitude
- Willing to ask for help and collaborate to drive the best possible outcomes
- Generative AI Expertise: In-depth knowledge of generative AI principles and experience with LLMs such as GPT, LLaMa, and Claude
- AI Systems Development: Demonstrated experience developing real-world generative AI applications
- Full-Stack Development Experience: Strong understanding of databases, backend systems, and frontend interfaces, especially in AI-driven environments
- Prompt Engineering Knowledge: Experience crafting, refining, and optimizing prompts for LLMs to achieve optimal responses
- Excellent Communication Skills: Able to clearly explain technical concepts to non-technical stakeholders
- Data Design Knowledge: Familiarity with data design principles for better tool and feature integration
TBD