Senior Software Engineer (Gen AI)

Freddie Mac•McLean, VA

1d•$129,000 - $193,000

About The Position

We are seeking a Senior Software Engineer (GenAI) to join our Multifamily Innovation team, where you will design, build, and deploy cutting-edge GenAI solutions that transform how we operate across the multifamily division. In this role, you will work at the intersection of large language models (LLMs), agentic systems, and cloud technologies to deliver intelligent products that drive measurable business outcomes. You will collaborate with product managers, data scientists, engineers, and business stakeholders to identify high-impact opportunities and turn them into production-grade AI applications. This is a hands-on, high-visibility role for someone passionate about pushing the boundaries of applied GenAI in a regulated, data-rich domain. The Multifamily Innovation team partners closely with both business and technology teams to identify high-value opportunities where AI can drive meaningful impact. We act as the bridge between emerging AI capabilities and real-world business needs - uncovering use cases, validating feasibility, and delivering intelligent solutions that streamline operations, enhance decision-making, and unlock new efficiencies across the multifamily division. By bringing together domain understanding and cutting-edge AI expertise, we help shape the future of how our division leverages AI to better serve our customers, partners, and the broader housing market.

Requirements

Bachelor's degree or equivalent experience; advanced studies/degree preferred.
Experience in Computer Science, Machine Learning, Data Science, or a related field is highly desired.
5 - 7 years related experience.
1+ years of hands-on experience in the GenAI/LLM space, building and deploying solutions in production environments.
Strong proficiency in Python and modern AI/ML frameworks such as LangChain, LlamaIndex, LangGraph, Hugging Face, or PyTorch.
Demonstrated experience building RAG systems, agentic workflows, and LLM-powered applications at scale.
Solid knowledge of vector databases, embedding models, and semantic search techniques.
Hands-on AWS cloud experience, including services such as Bedrock, SageMaker, or equivalent AI/ML offerings (exposure to Azure OpenAI is a plus).
Strong understanding of MLOps/LLMOps practices — CI/CD, model monitoring, versioning, and observability tooling.
Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders.

Nice To Haves

Bias for action and outcomes - you move quickly from idea to prototype to production, and you measure success in business impact, not just model metrics.
Product mindset - you think beyond the model and consider UX, adoption, scalability, and total cost of ownership.
Curiosity and continuous learning - the GenAI landscape evolves weekly; you thrive on staying current and bringing new ideas to the team.
Strong collaboration skills - you partner effectively with product, design, business, risk, and compliance teams to deliver solutions that work in the real world.
Ownership and accountability - you take problems end-to-end, anticipate risks, and follow through to delivery.

Responsibilities

Build and deploy end-to-end GenAI solutions - including RAG pipelines, multi-agent systems, document intelligence platforms, and copilots — tailored to multifamily workflows.
Drive the technical design of LLM-powered applications, including prompt engineering, model selection, evaluation frameworks, and guardrails to ensure quality, safety, and performance.
Partner with business stakeholders to translate ambiguous problems into AI-driven solutions with clear ROI and measurable adoption metrics.
Establish best practices for responsible AI, including bias mitigation, hallucination reduction, observability, and compliance with regulatory requirements.
Stay ahead of the curve by evaluating emerging models, frameworks, and techniques, and bringing the best of them into our stack.