Sr. AI Engineer

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Introduction

The position of Sr. AI Engineer at Agiloft, a leader in data-first contract lifecycle management (CLM) software, provides an exciting opportunity for candidates looking to advance their careers in the field of artificial intelligence. Agiloft specializes in helping organizations manage the complexities of contracts using their innovative Data-first Agreement Platform (DAP). Their dedication to excellence and customer satisfaction positions them as an industry leader, evidenced by high renewal rates and positive client experiences.

Position Overview

As a Sr. AI Engineer, your main responsibilities will include designing, building, and maintaining applications powered by AI, with a strong emphasis on a contract review application known as Screens. This role will engage you in high-stakes problem-solving and collaborative efforts with product managers, designers, and fellow engineers, focusing on integrating and optimizing commercial and open-source LLMs (Large Language Models) while enhancing internal AI tooling.

Responsibilities

You will be responsible for the entire development lifecycle of AI-driven enterprise applications, which includes:

• Designing and implementing AI models that utilize commercial and open-source LLM APIs.
• Developing backend services and APIs that support these AI functionalities.
• Evaluating and implementing techniques to improve the AI model's effectiveness and efficiency.
• Establishing best practices for AI engineering that encompasses prompt engineering and error handling.
• Troubleshooting complex issues across the AI stack to maintain high reliability and availability of the applications.
• Collaborating with cross-functional teams to explore AI opportunities in product development.

Required Qualifications

To qualify for this role, candidates must meet specific educational and experiential requirements, which include:

• A Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• A minimum of 5 years in software engineering, with at least 3 years dedicated to AI/ML.
• Proficiency with AI tools, particularly in analyzing and model evaluation within the Software Development Life Cycle (SDLC).
• Familiarity with cloud-native applications using technologies like API Gateway and Serverless architecture.
• Strong problem-solving skills and a deep understanding of distributed systems and performance optimization techniques.
• Experience in integrating commercial LLM APIs such as OpenAI or Anthropic.
• Excellent communication skills and a collaborative spirit are essential.

Preferred Qualifications

While the primary qualifications are critical for the role, the following preferred skills and experiences can enhance a candidate’s appeal:

• Exposure to complex LLM workflows and familiarity with RAG-based systems.
• Comfort with Infrastructure as Code (IaC) principles, particularly with AWS tools like CloudFormation.
• Familiarity with data science techniques in Python, including libraries like NumPy, SciPy, and pandas.
• Experience implementing CI/CD pipelines utilizing tools such as GitHub Actions.

Company Culture & Work Environment

Agiloft is dedicated to fostering a diverse and inclusive work environment, where employees are encouraged to bring their authentic selves to the workplace. Emphasizing employee experience, Agiloft believes in the principle that a positive employee experience translates into superior customer experiences. The company actively supports various Employee Resource Groups (ERGs) and promotes initiatives aimed at achieving work-life balance, including flexible holidays and wellness days off.

Salary & Application Process

While specific salary ranges are not mentioned in the job description, Agiloft’s reputation as a leader in the software industry suggests competitive compensation aligned with industry standards. Qualified candidates are encouraged to apply without hesitation, as there is no set application deadline. The company actively encourages applications from underrepresented groups, further demonstrating its commitment to diversity in hiring.

Conclusion

Taking on the role of Sr. AI Engineer at Agiloft presents an individual with the basis for professional growth within a thriving company. The opportunity to significantly influence the effectiveness of contract lifecycle management through AI applications makes this position a compelling opportunity for skilled engineers looking to excel in an innovative environment.

This job offer was originally published on himalayas.app