GenAI Software Engineer, Professional (Risk Engineering & Automation)

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, 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 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 Design and develop scalable GenAI applications such as copilots, automation tools, and workflow solutions. Build and enhance RAG pipelines using vector databases and retrieval strategies. Apply prompt‑engineering techniques to improve model performance; develop and maintain Python microservices and RESTful APIs; support automation of business and risk processes via AI‑driven workflows. Contribute to CI/CD pipelines and DevOps practices; implement guardrails and validation mechanisms for LLM‑based applications; embed risk and control considerations into AI solutions. Transform, cleanse, and prepare data for AI model usage; ensure data quality; support model evaluation and continuous improvement. Collaborate with engineers, data owners, product teams, and risk partners; participate in code reviews, design discussions, agile ceremonies; stay current with 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. 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. 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. #J-18808-Ljbffr Freddie Mac