Applied AI Engineer

Company Overview: A global private investment firm with over $120 billion in assets under management is seeking an Applied AI Engineer to join their AI Innovation Lab. This role involves prototyping and integrating AI-powered solutions to drive business value. Job Responsibilities: • Build AI-powered prototypes and pilots, including chat/agent experiences, workflow automation, and intelligent copilots for internal teams. • Integrate LLMs and other AI services with enterprise systems such as APIs, data warehouses, and productivity tools. • Stand up vector retrieval/embedding pipelines and lightweight orchestration layers for pilots. • Own prompt engineering and system prompt design for pilot use cases. • Run small-scale evaluations and instrument prototypes to capture feedback and usage data. • Work with the Data MVP/Platform team to transition successful pilots to governed solutions. • Implement privacy, security, and compliance controls as defined by the Lab and CTO. • Document pilot architecture, data flows, and limitations, and partner with AI Enablement Specialists to teach business users. Qualifications: • 4+ years of experience in software engineering, ML engineering, or applied data science. • Experience building with large language models or similar advanced AI systems. • Strong Python and/or TypeScript/JavaScript skills. • Familiarity with data platforms and modern data stacks, such as Snowflake. • Comfort working in ambiguous problem spaces and understanding AI governance and security. • Bachelor's degree in computer science, data science, or related field. Compensation: Salary: $175,000 – $250,000, Plus Bonus The post Applied AI Engineer appeared first on Landing Point.