Software Engineer Tech Lead (Gen AI)

About

Freddie Mac’s mission of Making Home Possible drives everything we do. Since 1970, we have helped more than 90 million families across the country. The Freddie Mac Enterprise Risk organization is seeking a hands‑on Software Engineer Tech Lead (Gen AI) to lead the design and development of cutting‑edge Generative 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 tech lead and a hands‑on engineer, working alongside Gen AI scientists, product managers, and data engineers to shape and implement enterprise‑grade Gen AI solutions.

Responsibilities

• Design and implement scalable full‑stack Gen AI agents, agentic workflows, RAG pipelines, and applications for diverse 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 system components.
• Work 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.
• Lead DevOps initiatives, including CI/CD pipelines, to ensure scalable and efficient deployment of Gen AI applications.

Our Impact

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 operational efficiency, make data‑driven decisions, and unlock new growth opportunities. Our commitment to integrating advanced technologies like LLMs and multi‑modal AI into enterprise solutions positions us as leaders in the AI industry, delivering impactful and sustainable results for our clients.

Your Impact

As a Software Engineer Tech Lead (Gen AI), you will shape the future of AI‑driven business solutions. You will 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 support 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

• Bachelor’s degree in Computer Science, Computer Engineering, IT, or a related field (advanced studies/degree preferred).
• 8–10 years overall software development experience.
• 2+ years hands‑on experience in Gen AI solutions, including work with LLMs (OpenAI, Anthropic, AWS Bedrock, etc.).
• 2+ years building RAG systems using vector databases.
• 1+ year with agentic frameworks (LangGraph, LangChain, etc.).
• 5+ years in cloud development leveraging AWS, REST, and microservices.
• Strong experience with Python, TypeScript, and Java.
• Background in MLOps and CI/CD.
• Experience building enterprise or customer‑facing Gen AI products.
• Demonstrated ability to work in cross‑functional agile teams.
• Experience with CI/CD practices and DevOps methodologies.

Keys to Success

• Technical Proficiency: Deep expertise in Python for creating microservices and designing scalable solutions.
• 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; strong communication and a team‑oriented mindset are essential.
• Innovation and Problem‑Solving: Apply modern Gen AI design patterns and best practices to solve complex business problems and integrate Gen AI into application architectures.
• Agility and Adaptability: Thrive in a fast‑paced, agile environment; adapt to new challenges and technologies to continuously improve AI solutions.

Compensation & Benefits

• Annualized market‑based salary range: $165,000 – $247,000.
• Eligible to participate in the annual incentive program.
• Comprehensive total rewards package, including competitive compensation and market‑leading benefit programs (details on the Freddie Mac Careers site).

Equal Opportunity

Freddie Mac considers 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 laws. Reasonable accommodations are available for the application or interview process and for performing essential job functions.