Senior Full Stack Engineer - AI Leverage Engineering
Job Overview
Join Ridgeline's AI Leverage Engineering team to revolutionize internal AI-driven productivity tools within the organization. Play a critical role in building innovative infrastructure, leveraging cutting-edge AI technology, and empowering teams across the company.
Responsibilities
- Develop and implement internal AI-powered tools to enhance productivity.
- Design infrastructure for seamless AI integration into workflows.
- Collaborate with AI Platform and Data Scale teams to adopt state-of-the-art AI technologies.
- Identify inefficiencies and propose AI-based solutions.
- Ensure scalability, reliability, and security of AI tools.
- Stay updated on AI advancements to improve internal capabilities.
- Mentor peers and foster collaboration.
- Use tools like ChatGPT, GitHub Copilot, and others for development.
Skills and Experience
- Proven ability to understand customer needs and translate into technical solutions.
- Strong programming skills in Python or other languages.
- Experience working directly with end users.
- Familiarity with scalable cloud infrastructure, preferably AWS.
- Strong problem-solving and analytical skills.
- Effective communication skills.
- Track record of delivering impactful software solutions.
Bonus Skills
- Experience with LLMs, RAG, and AI stack technologies.
- Background in creating developer tools or platforms.
- Familiarity with enterprise productivity tools and workflows.
About Ridgeline
Ridgeline is the industry cloud platform for investment management, founded by Dave Duffield. Focused on security, agility, usability, and innovation, Ridgeline operates multiple offices and has been recognized for its workplace culture.
Compensation & Benefits
- Starting salary range: $140,000 - $165,000 (varies based on experience).
- Opportunities for career advancement.
- Participation in the Company Stock Plan.
- Benefits including unlimited vacation, wellness & educational reimbursements, and $0 cost insurance.