Automation Engineering, Tech Lead
Freddie Mac2 days ago
McLean, VA, USAStaff+
Base Salary
$146k - $218k/yr
Responsibilities
- Design, build, and maintain Python-based microservices, APIs, backend services, and automation frameworks for scalable GenAI applications.
- Build and optimize RAG pipelines, vector search solutions, data pipelines, feature-engineering workflows, and feedback loops.
- Design and operate MCP servers supporting agent orchestration, RAG retrieval, tool-calling integrations, and internal business logic.
- Implement multi-agent systems with Lead Agent and Reviewer Agent patterns, consensus mechanisms, and iterative refinement loops.
- Integrate LLM and AI capabilities into production systems while implementing guardrails, risk controls, responsible AI practices, and auditability.
- Build observable and traceable AI systems with structured metadata, run-level logging, audit trails, and explainable outputs.
- Establish Python project standards, scaffolding templates, and development practices for engineering teams.
- Collaborate with engineering, product, risk, security, and governance teams and communicate technical decisions, risks, escalations, and recommendations to technical and executive audiences.
Requirements
- Bachelor’s degree in computer science, engineering, or a related field is required; an advanced degree is preferred.
- 8–10+ years of software engineering experience.
- Strong Python proficiency, including production-grade APIs, microservices, automation frameworks, and backend services.
- Experience building AI-enabled applications, automation platforms, or intelligent software solutions and integrating LLMs or AI services into business applications.
- Experience with RAG, prompt engineering, vector databases, MLOps/DataOps pipelines, observability, monitoring, LLM evaluation, guardrails, or AI safety mechanisms.
- Experience with AWS Bedrock, Azure OpenAI, or GitHub Copilot; AWS deployment and cloud-native or distributed-systems experience are preferred.
- Experience with MCP servers or equivalent tool-calling and agent-serving frameworks and with multi-agent orchestration, review loops, or consensus mechanisms.
- Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar tools.
- Experience building observable and auditable AI systems, preparing data for RAG ingestion, validating retrieval, and maintaining citation traceability, particularly in regulated or compliance environments.
- Familiarity with AI governance, model risk, responsible AI frameworks, risk and control requirements, and enterprise AI platforms such as FredAI is preferred.
- Ability to establish engineering standards, work across disciplines, surface risks and dependencies, and communicate complex technical issues clearly.
Benefits
- Full-time, exempt position with a comprehensive total rewards package and market-leading benefit programs.
- Eligible to participate in the annual incentive program.
- Freddie Mac provides reasonable accommodation for applicants and employees with disabilities.
- The role has an annualized market-based base salary range of $146,000–$218,000.
Categories
About Freddie Mac
Freddie Mac is a government-sponsored enterprise that buys mortgages from lenders, securitizes them into mortgage-backed securities, and guarantees timely payments to investors, providing liquidity for U.S. housing. It operates across single-family and multifamily markets, earning guarantee fees and investment income. Founded in 1970 and headquartered in McLean, Virginia, it remains under Federal Housing Finance Agency conservatorship, supporting affordable homeownership and rental housing.