Freddiemac

Freddiemac

Senior Software Engineer (Gen AI)

McLean, VA · Senior · Full-time

Sponsorship not specified$129k-$193kDetected 25 days ago
PythonVector DatabasesAWSAzureCI/CDMachine LearningData ScienceLLMsRAGAgentic AILLMOpsMLOpsLangGraphCommunicationCollaboration

About the role

  • This is a hands-on, high-visibility role for someone passionate about pushing the boundaries of applied GenAI in a regulated, data-rich domain.

Responsibilities

  • Strong collaboration skills - you partner effectively with product, design, business, risk, and compliance teams to deliver solutions that work in the real world.
  • 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.
  • The Multifamily Innovation team partners closely with both business and technology teams to identify high-value opportunities where AI can drive meaningful impact.
  • Freddie Mac partners with BountyJobs for contingency search business through outside firms.

Requirements

  • Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
  • Required:
  • advanced studies/degree preferred. E xperience 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.
  • Demonstrated experience building RAG systems, agentic workflows, and LLM-powered applications at scale.
  • Keys to Success in this Role:
  • 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.

Nice to have

  • Bachelor's degree or equivalent experience
  • advanced studies/degree preferred.
  • 7 years related experience.
  • Strong proficiency in Python and modern AI/ML frameworks such as LangChain, LlamaIndex, LangGraph, Hugging Face, or PyTorch.
  • 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.

Skills

  • Stay ahead of the curve by evaluating emerging models, frameworks, and techniques, and bringing the best of them into our stack.

Compensation

  • This position has an annualized market-based salary range of $129,000 - $193,000 and is eligible to participate in the annual incentive program.

Benefits

  • If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
  • 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.
  • Curiosity and continuous learning - the GenAI landscape evolves weekly; you thrive on staying current and bringing new ideas to the team.

Company info

  • 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.
  • 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.
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