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Position Overview
We are seeking a highly experienced hands‑on Agile Development Senior Software Engineer (Gen AI) to lead the design and development of cutting‑edge Generative AI (Gen AI) Agents, Agentic Workflows, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in 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, product managers, and data engineers to shape and implement enterprise‑grade Gen AI solutions. A strong focus on DevOps and automated testing using Gen AI is essential for success in this role.
Key Responsibilities
Our Impact
At Freddie Mac, we are at the forefront of technological innovation, developing AI solutions that transform complex business challenges into streamlined, automated processes. By leveraging cutting‑edge AI Agents, Agentic Workflows, and Gen AI Applications, we enable businesses to enhance their operational efficiency, make data‑driven decisions, and unlock new opportunities for growth. Our commitment to integrating advanced technologies like LLMs and multi‑modal AI into enterprise solutions ensures that we remain leaders in the AI industry, delivering impactful and sustainable results for our clients.
Your Impact
As an Agile Development Senior Software Engineer (Gen AI), your role is pivotal in shaping the future of AI‑driven business solutions. You will have the opportunity to design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed. Your expertise in Automated QA and Python‑based microservices will be crucial in creating robust quality‑controlled frameworks for Gen AI solutions that will help with Governance Approvals. By collaborating with Gen AI scientists, UX designers, and other cross‑functional teams, you will drive the implementation of enterprise‑grade Gen AI solutions, ensuring they meet the highest standards of performance and reliability.
Qualifications
Keys to Success in this Role
Technical Proficiency : Demonstrate deep expertise in Python for creating microservices. Your ability to design and implement scalable solutions will be essential.
Quality and Compliance : Establish and enforce validation frameworks and procedures to ensure production‑ready deployment of Gen AI solutions.
Collaboration : Work effectively with Gen AI scientists, UX designers, product managers, and data engineers to build comprehensive Gen AI experiences. Strong communication skills and a team‑oriented mindset will be key.
Innovation and Problem‑Solving : Employ modern Gen AI based design patterns and best practices to solve complex business problems. Your innovative approach will help integrate Gen AI into application architectures successfully.
Agility and Adaptability : Thrive in a fast‑paced, agile environment. Your flexibility and ability to adapt to new challenges and technologies will ensure the continuous improvement of our AI solutions.
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.
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 $127,000 - $191,000 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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