Agile Development Tech Lead

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

We are seeking a highly experienced hands-on Full Stack Engineer to design and development of cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Angular for front-end development and Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes). You will serve as a hands-on engineer, working alongside Gen AI scientists, UX designers, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions.

Our Impact:

Our team is at the forefront of applying cutting-edge AI technologies—such as Agentic AI, Retrieval-Augmented Generation (RAG), multi-modal processing, and advanced model orchestration—to solve real-world business problems. By architecting scalable, robust, and secure AI solutions, we:

• Enable the organization to automate and enhance decision-making processes.

• Accelerate innovation through intelligent data-driven applications.

• Establish best practices for deploying AI safely and ethically at enterprise scale.

• Foster a culture of collaboration, technical excellence, and continuous learning.

Your Impact:

As an Agile Development Tech Lead, you will design and develop advanced Generative AI solutions, including AI Agents, Agentic Workflows, and Gen AI Applications that tackle complex business challenges. This hands-on role demands deep expertise in LLMs, multi-modal AI, prompt engineering, and cloud-native GenAI (CI/CD) deployments, as well as the ability to shape and implement enterprise-grade Gen AI systems as both a technical thought leader.

• Architect and implement scalable Full Stack AI Agents, Agentic Workflows, and Gen AI applications to address diverse and complex business use cases.

• Develop, optimize, and maintain the front-end using Angular, ensuring a seamless user experience.

• Design and deploy Python-based microservices for robust orchestration and integration with AI models.

• 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 the front end and back end.

• Collaborate with cross-functional teams of UI/UX designers, data engineers, and Gen AI scientists to build full-stack Gen AI experiences.

• Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.

• Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.

Qualifications:

• Bachelor's or master's degree in computer science, Computer Engineering, or Data Science related field.

• 8+ years of experience in full stack development, with 1+ years in applied Gen AI or LLM-based solutions.

• Deep expertise in Angular, Python, and microservices architecture.

• Proven experience with cloud-native development, particularly AWS services.

• Strong programming skills and familiarity with AI/ML libraries and frameworks.

• Demonstrated ability to work in cross-functional agile teams.

Keys to Success in this Role:

Demonstrate Deep Technical Mastery

• Advanced proficiency in GenAI concepts, LLMs, multimodal AI, and cloud-native ML workflows.

• Strong programming skills and hands-on experience with tools such as Python based Microservices, Angular based UI and CI/CD tool set.

Architect Scalable and Robust Solutions

• Ability to design and deploy AI systems that are secure, scalable, and maintainable.

• Expertise in building RAG architectures, data ingestion pipelines, and embedding-driven retrieval systems.

Collaborate Across Functions

• Work effectively with developers, designers, product