Freddie Mac is seeking to solve complex business problems by leading the design and development of cutting-edge Generative AI (Gen AI) Agents, Agentic Workflows, and Gen AI Applications. The goal is to transform complex business challenges into streamlined, automated processes, enhance operational efficiency, make data-driven decisions, and unlock new opportunities for growth by leveraging advanced AI technologies.
Requirements
- Advanced proficiency in Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes).
- Strong focus on DevOps and automated testing using Gen AI.
- Deep Expertise with Cucumber/Behave, Playwright and DevOps methodologies.
- Deep expertise in Python and microservices architecture.
- Proven experience with cloud-native development, particularly AWS services.
- Strong programming skills and familiarity with AI/ML libraries and frameworks.
- Experience with CI/CD practices and DevOps methodologies
Responsibilities
- Develop and implement automated testing frameworks using Gen AI to enhance the reliability and performance of Gen AI Agents, applications and workflows.
- Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, and applications to address diverse and complex business use cases.
- Design and deploy Python-based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).
- Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
- Implement solutions leveraging modern design patterns and best practices for full stack development.
- Build and maintain RESTful APIs to enable seamless communication between different system components.
- Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
Other
- Highly experienced hands-on Agile Development Senior Software Engineer (Gen AI) to lead the design and development.
- Serve as a hands-on engineer, working alongside Gen AI scientists, product managers, and data engineers.
- Collaborate with cross-functional teams of full stack engineers, data engineers and Gen AI scientists.
- Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
- Lead DevOps initiatives, including CI/CD pipelines, to ensure scalable and efficient deployment of Gen AI applications.
