Job Title: Gen AI Engineer, Agentic AI
Responsibilities:
- Architectural Leadership: Design and architect scalable, robust, and secure Agentic AI solutions across our Java, Python, Node.js, and React.js, Angular applications.
- Agent Development: Lead the development of AI agents for various lending processes, including loan origination, underwriting, servicing, and customer interaction.
- LLM Integration: Evaluate, integrate, and fine-tune Large Language Models (LLMs) to enable natural language understanding, generation, and complex reasoning within AI agents.
- Tooling and Frameworks: Develop and implement the necessary tooling, frameworks, and infrastructure to support the development, deployment, and monitoring of AI agents.
- Data Strategy: Collaborate with data science and engineering teams to define data requirements, data pipelines, and data governance strategies for training and optimizing AI agents.
- Innovation and Research: Stay at the forefront of Agentic AI research and identify opportunities to apply new techniques and technologies to enhance our platform.
- Mentorship and Guidance: Provide technical leadership, mentorship, and guidance to other engineers on AI/ML best practices and agentic system design.
- Collaboration: Work closely with product managers, designers, and stakeholders to translate business requirements into technical solutions.1
- Performance Optimization: Ensure the performance, scalability, reliability, and security of AI-driven lending solutions.
Qualification:
- Education: Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field.
- Experience: 5+ years of software engineering experience, with a proven track record of designing and building complex, enterprise-grade applications.
- AI/ML Expertise:
- Deep understanding of AI/ML principles, particularly in the area of Large Language Models (LLMs) and agentic systems.
- Experience in developing and deploying AI agents using frameworks and tools.
- Strong knowledge of natural language processing (NLP), machine learning, and deep learning techniques.
- Technical Skills:
- Proficient in programming languages such as Java, Python, Node.js, React.js, and Angular.
- Experience with PostgreSQL or other relational databases.
- Strong cloud computing experience, particularly with AWS.
- Experience with software development best practices, including version control (Git), CI/CD, and testing.
- Problem-Solving: Excellent analytical and problem-solving skills, with the ability to break down complex challenges into manageable solutions.
- Communication: Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical2 audiences.
- Leadership: Proven ability to provide technical leadership, mentorship, and guidance to other engineers.
- Passion: A passion for innovation and a strong desire to transform the lending industry with AI.
