The Sr. AI Engineer position is a remote role based in the United States, posted by Jobgether on behalf of Agiloft.
The role involves developing and deploying advanced AI solutions to improve contract creation, review, and management processes.
The engineer will collaborate with a multidisciplinary team, including engineers, data scientists, designers, and legal experts, to design and implement LLM-powered features.
Responsibilities include leading the design, development, and deployment of LLM-powered features, evaluating and integrating AI and machine learning capabilities, and taking ownership of the core codebase.
The engineer will independently drive proof-of-concept initiatives and tackle complex technical challenges with innovative solutions.
Staying updated on emerging AI technologies and best practices is essential to enhance platform functionality and performance.
Requirements:
A strong foundation in building and evaluating LLM-powered applications is required.
Advanced programming skills with deep proficiency in Python and experience building on AWS are necessary.
The candidate must demonstrate the ability to design, implement, and optimize AI-driven solutions independently.
Self-direction, accountability, and comfort in taking ownership of complex systems are essential traits.
The ideal candidate should be a collaborative and humble team player who positively contributes to team dynamics.
Creative problem-solving skills and a willingness to explore novel AI approaches are important.
A Bachelor’s degree in Computer Science, AI, or a related field (or equivalent experience) is required.
Preferred qualifications include hands-on experience with RAG systems, agentic AI frameworks, or applied NLP in enterprise settings, as well as a strong understanding of software engineering best practices.
Benefits:
The position offers a competitive salary range of $160,000–$220,000 per year.
Flexible work arrangements and a remote-friendly environment are provided.
Health insurance and standard employee benefits are included.
There are career growth opportunities in AI and cutting-edge technology domains.
The workplace is inclusive and diverse, supporting professional development and work/life balance.