What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience delivering Large Language Model projects with customers
- Experience with LLM API integration
- Knowledge of foundation models, SFT, prompt engineering, RAG
- Two years + experience in solutions architecture, integrating applications or ML development within customer-facing roles
- Intermediate experience with Python
- University degree in computer science, engineering, mathematics or related fields
- Ability to develop and articulate an AI solution vision
- Experience in another fast-paced SaaS startup or scale-up during a high-growth phase
Nice to have
- Experience with LLM projects
- Experience in solutions architecture
- Proficient in Python
- Degree in relevant fields
- Ability to develop AI solutions
- Startup experience preferred
- Expertise with langchain preferred
Day to day
- Collaborate with sales teams to ensure key customers achieve twice the impact in half the time
- Develop and present workflow implementations within V7
- Work with our product team to assist with the integration of new models and ML-Ops tools into V7
- Develop and maintain the integration into major cloud marketplaces
- Multi-task between up to 5 simultaneous projects delivered in short timeframes
Hiring process
- 1st recruiter screen with Sr Talent Acquisition Manager
- 2nd Peer interview
- 3rd Hiring Manager interview
- 4th Product and technical test