Role overview
As an AI Engineer, you will collaborate closely with cross-functional teams to design, develop, and deploy cutting-edge AI solutions with a focus on Generative AI and autonomous systems. This role requires a strong foundation in ML engineering, along with experience building applications with FMs and related concepts such as RAG, fine-tuning, agents, and distillation.
Basic qualifications
- 5+ years experience building and deploying ML models in production at scale.
- Recent experience with Generative AI models and techniques, such as LLMs, fine-tuning, RAG, prompt engineering, guardrails, distillation, and agent frameworks.
- Can-do attitude with a focus on delivering measurable business impact.
- Strong technical communicator who can convey complex topics to different audiences.
- B.S. in Computer Science, or a related field.
- Core Programming: Python, Go
- Cloud Platform: AWS (SageMaker, Bedrock) preferred
- GenAI Frameworks/Tools: Any
- Data: Snowflake, Kafka, Airflow
- Health and wellness coverage: Medical, dental, and vision insurance
- Disability coverage: Short-term and long-term disability
- Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
- Additional life coverage options: Supplemental life insurance for employees, spouses, and children
- Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
- Financial security: 401(k) Savings and Investment Plan with company matching
- Time off benefits: Flexible vacation policy
- Holidays: 8 paid holidays annually
- Sick leave
- Parental support: Paid parental leave
- Employee Assistance Program (EAP) and Care Counselors
- Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
- Health Savings Account (HSA) with employer contribution
About the company
- Deeply understand the SailPoint AI vision and Generative AI initiatives.
- Onboard onto our AI Platform tech stack.
- Develop or evaluate a working prototype of an AI agent using existing models/tools.
- Deliver or contribute to a fully functional GenAI-powered feature.
- Optimize existing AI pipelines to ensure robust training, evaluation, and deployment.
- Collaborate with the AI and product teams to identify key use cases for GenAI.
- Lead the development of a new FM-based capability from ideation to deployment.
- Drive AI innovation by rapidly incorporating advancements in FM fine-tuning, prompt engineering, agent-based systems, etc. into our product and platform.
- Establish repeatable frameworks for evaluating GenAI and agent-based features in production, emphasizing business impact and risk mitigation.
- Collaborate with partners to deliver thoughtful integrations between traditional ML and agent-based systems that provide a seamless and autonomous user experience.
Tags & focus areas
Used for matching and alerts on DevFound Ai Machine Learning Generative Ai Robotics Fulltime Ai Engineer