Sr. AI Engineer

Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise Software, Legal Tech, Contract ManagementIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Information Technology, or a related field, and a minimum of 5 years of professional experience as a software engineer with at least 3 years of applied AI/ML experience. Proficiency in using relevant AI tools within the Software Development Life Cycle (SLDC), such as GitHub Copilot or JetBrains AI Assistant, is required. Demonstrated experience integrating commercial Large Language Model (LLM) APIs (e.g., OpenAI, Anthropic) into software applications is also necessary.

Responsibilities

The Sr. AI Engineer will be responsible for designing, building, and maintaining AI-driven enterprise applications, specifically focusing on integrating and optimizing commercial and open-source LLM APIs. They will collaborate with product managers and designers to identify AI opportunities and deliver intuitive user experiences. The role involves developing and maintaining robust backend services and APIs, continuously improving AI model evaluation processes, enhancing internal AI developer tools, troubleshooting complex issues, and participating in incident response efforts. Furthermore, they will lead efforts to establish AI engineering best practices and contribute to overall system performance and reliability.

Skills

Machine Learning

Enterprise Applications

Data-first Agreement Platform (DAP)

Contract Lifecycle Management (CLM)

Artificial Intelligence

Agiloft

Enterprise software for contract lifecycle management

About Agiloft

Agiloft provides enterprise software focused on managing the entire lifecycle of contracts, from creation to renewal. Their software allows businesses to customize the system to fit their specific needs without extensive coding, enabling rapid deployment in just weeks. This flexibility is a key feature that sets Agiloft apart from competitors, as it allows for easy modifications as business requirements change. Agiloft serves a diverse clientele, including small and medium-sized businesses, U.S. government agencies, and Fortune 100 companies, operating on a subscription-based model for their software as a service (SaaS). They also offer implementation and customization services, backed by an unconditional guarantee on their software and implementation costs, showcasing their confidence in their product. Agiloft has received multiple awards for its innovation and customer satisfaction, including recognition in the Gartner Magic Quadrant for Contract Lifecycle Management.

Redwood City, CaliforniaHeadquarters

1991Year Founded

$43.8MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Unlimited Paid Time Off

Paid Holidays

Wellness Program

Risks

Increased competition from DocuSign, iCertis, and Ironclad may pressure market share.

Potential IPO could lead to scrutiny and pressure on financial performance.

Integration of generative AI may face data privacy and security challenges.

Differentiation

Agiloft's no-code platform allows rapid deployment and customization without extensive coding.

The company offers an unconditional guarantee on software and implementation costs.

Agiloft's AI-driven contract management enhances efficiency for legal, procurement, and sales operations.

Upsides

KKR's investment positions Agiloft for international expansion and increased market share.

Partnership with Kroll enhances credibility and access to a broader client base.

Generative AI capabilities attract tech-savvy clients seeking advanced contract management solutions.

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