Ai Engineer, Llm Principal

Pathward
Summary
Join Pathward, a hybrid, remote-office financial empowerment company, as a Principal AI Engineer. You will lead the development and implementation of large language model (LLM) and generative AI (Gen AI) solutions. This role involves designing and implementing LLM-based solutions, optimizing model training pipelines, and ensuring seamless deployment. You will collaborate with cross-functional teams, mentor junior engineers, and guide the strategic direction of AI initiatives. Pathward offers a competitive salary, comprehensive benefits, and a commitment to diversity and inclusion. The ideal candidate possesses strong Python programming skills, experience with ML frameworks, and a deep understanding of LLM architectures. Apply even if you don't meet every requirement; Pathward encourages applications from diverse candidates.
Requirements
- Bachelor's degree in information systems or equivalent education and work experience
- Strong Python programming and software engineering practices
- Experience with ML frameworks (PyTorch, TensorFlow, etc.)
- Knowledge of LLM architectures and training methodologies
- Familiarity with prompt engineering and chain-of-thought techniques
- Understanding of ML ops and deployment practices
- Experience with cloud platforms (AWS, GCP, Azure)
Responsibilities
- Design and implement LLM-based solutions, including model fine-tuning, prompt engineering, and integration with existing systems
- Develop and optimize model training pipelines, focusing on efficiency and performance
- Create and maintain model evaluation frameworks to assess model performance, bias, and safety
- Build robust data preprocessing pipelines for training and fine-tuning
- Implement efficient model deployment strategies and monitoring systems
- Create APIs and services to integrate LLM capabilities into production applications
- Optimize model inference for production environments, considering latency and cost
- Develop fallback mechanisms and error handling for AI systems
- Design and implement caching strategies and vector databases for efficient retrieval
- Build RAG (Retrieval-Augmented Generation) system
- Lead the design, development, and deployment of AI models and algorithms
- Implement guardrails and safety measures to prevent misuse and harmful outputs
- Monitor and mitigate model biases and ethical concerns
- Develop testing frameworks for model behavior and output quality
- Ensure compliance with AI governance policies and industry standards
- Document model limitations and potential risks
- Ensure the scalability, reliability, and performance of AI systems
- Collaborate with cross-functional teams to integrate AI solutions into products and services
- Stay current with the latest developments in LLM research and industry best practices
- Mentor and guide junior AI engineers and data scientists
- Contribute to technical architecture decisions
- Drive the strategic direction of AI initiatives within Pathward
- Other duties as assigned
Preferred Qualifications
Master's degree
Benefits
- Salary range: $86,259.86 β $159,308.33
- Annual performance-based incentive opportunity
- Health insurance
- 401(k) retirement benefits
- Life insurance
- Disability benefits
- Paid time off