GenAI Software Engineer, Professional

Freddie Mac • McLean, VA

1d • $110,000 - $166,000

About The Position

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: Freddie Mac Enterprise Risk organization is seeking a hands-on Software Engineer, Professional (Gen AI) to lead the design and development of cutting-edge Generative AI (Gen AI) Agents, Agentic Workflows, RAG pipelines, 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. 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 a Software Engineer, Professional (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 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.

Requirements

• Bachelor's degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.
• 2-4 years software development experience
• 1-2 years hands-on experience in GenAI solutions, including experience with LLMs (OpenAI, Anthropic, AWS Bedrock, etc.)
• 1+ year building RAG systems using vector DBs
• 1+ year with agentic frameworks (LangGraph, LangChain, etc)
• 2-4 years in cloud development leveraging AWS, REST, microservices
• Strong Python, Typescript, and Java experience
• Experience building enterprise or customer-facing AI products
• Demonstrated ability to work in cross-functional agile teams.
• Experience with CI/CD practices and DevOps methodologies

Responsibilities

• Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, RAG pipelines and applications to address diverse and complex business use cases.
• Design and deploy Python-based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).
• 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 different system components.
• Collaborate with cross-functional teams of full stack engineers, 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level