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 As a Software Engineer, Professional (GenAI), your role is pivotal in shaping the future of AI-driven business solutions. You will design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed.
In this role, you will contribute to building next-generation GenAI solutions and automation capabilities, with a focus on embedding risk awareness, controls, and governance into AI-driven systems. Your expertise in Python-based microservices will support the development of robust, quality-controlled frameworks for GenAI solutions, including those supporting governance and approval processes.
By collaborating with GenAI scientists, UX designers, and cross-functional teams, you will help deliver enterprise-grade AI solutions that meet high standards of performance, reliability, and responsible AI practices.
Our Impact Joining us offers the opportunity to work on cutting-edge GenAI and automation initiatives, gaining hands-on experience in building enterprise-scale AI solutions. You will learn how AI is applied in real-world, regulated environments, and be part of shaping the future of AI-enabled risk management.
Your impact Key responsibilities include designing and developing scalable GenAI applications such as copilots, automation tools, and workflow solutions, as well as building and enhancing RAG pipelines using vector databases and retrieval strategies. You will apply prompt engineering techniques to improve model performance, develop and maintain Python-based microservices and RESTful APIs, and support the automation of business and risk processes through AI-driven workflows. Additionally, you will contribute to CI/CD pipelines and DevOps practices, assist in implementing guardrails and validation mechanisms for LLM-based applications, and help embed risk and control considerations into AI solutions. Responsibilities also involve data transformation, cleansing, and preparation for AI model usage, ensuring data quality, and supporting model evaluation and continuous improvement. Collaboration with engineers, data owners, product teams, and risk partners is expected, along with participation in code reviews, design discussions, agile ceremonies, and staying current with evolving trends in LLMs, agent frameworks, and AI engineering tools.
Qualifications - Bachelor's degree in Computer Science, Computer Engineering, IT, or a related field (advanced degree preferred)
- 2-4 years of software development experience
- 1-2 years of hands-on experience in GenAI solutions, including LLMs (e.g., OpenAI, Anthropic, AWS Bedrock)
- Experience building RAG systems using vector databases
- Familiarity with agentic frameworks (e.g., LangChain, LangGraph, or similar)
- 2-4 years of experience in cloud development (AWS preferred), REST APIs, and microservices
- Strong programming skills in Python (experience with TypeScript/Java is a plus)
- Experience building enterprise or customer-facing AI applications
- Familiarity with CI/CD and DevOps practices
- Demonstrated ability to work in cross-functional agile teams
- Exposure to LLM guardrails, evaluation frameworks, or AI safety techniques
- Familiarity with AI governance, model risk, or responsible AI concepts
- Experience supporting quality-controlled or regulated environments
Keys to Success in This Role - Technical Proficiency: Strong Python skills and ability to build scalable microservices
- Quality & Reliability: Deliver robust, well-tested, and production-ready solutions
- Learning Agility: Continuously develop skills in GenAI and emerging technologies
- Collaboration: Work effectively across engineering, product, and risk teams
- Attention to Detail: Ensure high-quality data, outputs, and system performance
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:Non-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 $94,000 - $142,000 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.
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