Software Engineer Technical 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 Software Engineer Technical Lead 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 a Software Engineer Technical 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 managers, and data engineers.
• Communicate complex technical ideas clearly and lead teams towards shared goals.

Champion Best Practices and Safety

• Implement rigorous validation and evaluation frameworks.
• Establish guardrails for bias mitigation, safety, and privacy.

Innovate Continuously

• Stay abreast of the latest GenAI research and technologies.
• Proactively identify opportunities for impact and improvement.

Current Freddie Mac employees please apply through the internal career site.


We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.



CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.


Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit and register with our referral code: MAC.


Time-type:Full time


FLSA Status:Exempt


Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.


This position has an annualized market-based salary range of $154,000 - $230,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.