Software Engineer, Technical Lead; Gen AI Engineering

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. Continue your career journey where your work contributes to a greater purpose.

We are seeking a highly experienced hands‑on Software Engineer, Technical Lead (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 in multi‑family business. This role requires advanced expertise in Retrieval‑Augmented Generation (RAG), vector databases and Python based frameworks like Lang Chain. The ideal candidate will have a strong foundation in data pipelines, logging and observability practices, ensuring production grade reliability and scalability for AI‑driven applications.

You will work in a hands‑on engineer role, working alongside Gen AI experts, product managers, and data engineers to shape and implement production grade Gen AI solutions to solve our complex business problems.

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 business solutions ensures delivery of impactful and sustainable results for our clients.

As Software Engineer, Technical Lead (Gen AI), your role is pivotal in shaping the future of AI‑driven business solutions within Multi‑Family. You will have the opportunity to design and develop scalable applications end‑to‑end that integrate sophisticated AI models, directly influencing how our business operates and succeeds.

• Bachelor's degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.

• 8-10 years of experience in software development

• 5+ years of experience in applied AI/ML engineering

• Strong proficiency in Python and experience with Lang Chain or similar framework

• Experience indata transformation, cleansing, and feature engineering to prepare data for AI/ML models

• Knowledge of implementing APIs, microservices and distributed systems within cloud environment. Familiarity with AWS services is expected

• Strong programming skills and familiarity with AI/ML libraries and frameworks.

• Solid understanding of MLOps/Data Ops pipelines for scalable AI/ML development

• Experience with logging, tracing and observability frameworks

• Exposure to LLM fine-tuning, prompt engineering and model evaluation is must

• Experience with managed LLM platforms such as AWS Bedrock, Azure OpenAI or GCP Vertex AI is a plus

• Demonstrated ability to work in cross‑functional agile teams with a proven ability to collaborate with data engineers to ensure data readiness and quality for Gen AI solutions.

• Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, and applications to address diverse and complex business use cases.

• Design and implement feature engineering workflows to extract relevant signals from structured and unstructured data, enhancing the performance of LLM‑powered products.

• Ensure that data used by AI applications isclean, well‑structured, and optimized for model consumption.

• Establish feedback mechanisms where outputs from LLM models are analyzed and used to enrich and improve the underlying data sources, creating a virtuous cycle for product improvement.

• Design and deploy Python‑based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).

• 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…