Drive impactful AI innovation in legal workflows and operational efficiency. Collaborate with experts to deploy cutting-edge AI solutions in production. Enhance your skills in advanced AI architectures and cloud technologies.
Ai Engineer
in Information Technology PermanentJob Detail
Job Description
Overview
- Develop innovative AI solutions to transform legal workflows and enhance operational efficiency.
- Collaborate with multidisciplinary teams to design and implement advanced AI-driven systems.
- Contribute to the development and deployment of cutting-edge AI applications in a hybrid work environment.
- Engage in continuous learning to stay ahead in AI advancements and industry trends.
- Work closely with legal professionals to tailor AI solutions to specific workflow needs.
- Participate in structured experimentation to refine AI models and improve system reliability.
- Enhance your expertise in AI architectures and cloud technologies through hands-on projects.
- Contribute to a dynamic and innovative environment focused on impactful AI integration.
Key Responsibilities & Duties
- Design and optimize AI systems for legal workflow applications and data retrieval.
- Develop AI agents to streamline multi-step processes and enhance efficiency.
- Implement retrieval-augmented generation (RAG) patterns to improve system performance.
- Conduct experiments to refine prompts and retrieval strategies for AI models.
- Collaborate on data preparation, ingestion, and indexing for AI applications.
- Deploy and monitor AI tools in production environments for optimal functionality.
- Work with infrastructure teams to ensure secure and scalable AI deployments.
- Support continuous improvement initiatives for AI systems and workflows.
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Minimum 2 years of experience in software engineering or AI-related roles.
- Proficiency in Python and software engineering fundamentals.
- Experience with vector databases and similarity search technologies.
- Understanding of RAG architectures and retrieval optimization techniques.
- Familiarity with cloud platforms and containerization technologies.
- Strong analytical and problem-solving skills.
- Preferred experience with Azure cloud services and enterprise environments.
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