Principal Software Engineer (Python)

330779353 CoreLogic Solutions, LLC; United States; Hybrid; USD 154,600 - 180,000; Full time

Benefits offered by this job

Generous PTO

401(k) with company match

Tuition assistance up to $5,250

Job summary

330779353 CoreLogic Solutions, LLC is seeking a Principal Software Development Engineer to lead the design, development, and testing of complex software systems. This hybrid-remote position requires extensive experience in Python and AI technologies.

The successful candidate will drive engineering excellence, mentor teams, and oversee the creation of high-performance software solutions, while optimizing system performance under enterprise constraints. Attractive benefits and a competitive salary range from $154,600 to $180,000 annually.

Qualifications

• 10+ years of professional software engineering experience.
• Proven experience in designing and maintaining production web services.
• Strong grasp of the operational trade-offs between LLMs and SLMs.

Responsibilities

• Lead the design and testing of complex software systems.
• Design and deploy Hybrid Graph/Vector search architectures.
• Optimize system performance for enterprise-scale loads.

Skills

Python/FastAPI

Knowledge Representation

AI Orchestration

Cloud Architecture

Graph Reasoning

Education

Master’s or Bachelor’s degree in Computer Science or AI

Tools

Vector Databases

FastAPI

Job description

About Cotality

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people‑centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem.

Job Overview

Hybrid‑remote Principal Software Development Engineer leads the design, development, and testing of complex software systems and applications. This senior‑level position is responsible for creating scalable, high‑quality software solutions while providing technical leadership, driving engineering excellence, and providing mentorship to engineering teams.

Responsibilities

• Architect and Evolve the Semantic Layer: Lead the redesign and scaling of the existing Semantic Layer Web Service, transitioning it from a manual 130‑attribute baseline to an automated, high‑availability enterprise intelligence platform.
• Take the Team Anchor Role: Serve as the primary technical lead for the delivery team, owning the architectural vision for Knowledge Representation and Semantic Search while ensuring "fiduciary‑grade" performance as the system scales to 1,000+ attributes.
• Implement Advanced Reasoning: Design and deploy Hybrid Graph/Vector search architectures (GraphRAG) to enable complex global reasoning across disparate enterprise data assets.
• Develop High‑Performance AI Services: Utilize Git or similar, Unix command line, Python, FastAPI, FastMCP, and ADK to build and enhance robust backend services that bridge core enterprise data with Agentic AI.
• Model Optimization (LLM & SLM): Partner with the Data Science team to architect intelligent routing logic that leverages Small Language Models (SLMs) for high‑speed classification/extraction and Large Language Models (LLMs) for complex synthesis.
• Automate Metadata Ingestion: Collaborate with the Knowledge Engineering team to build automated workflows for Ontology Management and Entity Linking, eliminating single‑resource bottlenecks and manual curation constraints.
• Establish Systematic Evaluation: Collaborate with Knowledge Engineering and Data Science teams to replace "vibe checks" with rigorous automated testing frameworks, utilizing metrics like Faithfulness, Answer Relevance, and Context Precision (RAGAS) to ensure quality during rapid scaling.
• Conduct Expert Code Reviews: Ensure high code quality, adherence to AI engineering standards, and architectural integrity across the Python/AI stack.
• Drive Test‑Driven Development (TDD): Implement rigorous TDD practices, writing comprehensive unit and integration tests to ensure the reliability of non‑deterministic semantic pipelines.
• Apply Advanced Algorithms: Utilize specialized algorithms for Entity Disambiguation and Ontology Evolution to solve complex knowledge‑graph scaling and schema‑drift challenges.
• Optimize Performance and Scalability: Independently plan and execute system optimizations to ensure the Semantic Layer remains performant under enterprise‑scale loads and high‑dimensional search requirements.
• Troubleshoot Complex AI Issues: Resolve deep technical challenges related to model hallucinations, "Lost in the Middle" context window phenomena, and retrieval latency.
• Stay Updated on Emerging AI Trends: Monitor and provide recommendations on the rapidly evolving AI landscape, including SLM success areas, prompt engineering, and synthetic data generation.
• Mentor Senior & Junior Engineers: Act as a technical mentor and coach, sharing expertise in Python, Semantic AI, and Cloud Architecture to upskill the broader engineering organization.

Qualifications

• Master’s or Bachelor’s degree in Computer Science, AI, or a related field, with 10+ years of professional software engineering experience.
• Expert Python/FastAPI Developer: Proven experience in designing, scaling, and maintaining existing production web services in an asynchronous Python environment.
• Semantic & Graph Expertise: Deep understanding of Knowledge Representation, Ontologies, and Graph Reasoning; experience taking "boutique" internal tools and turning them into high‑availability platforms.
• Advanced RAG Knowledge: Professional experience with Vector Databases, Hybrid Search, and advanced retrieval strategies (e.g., Query Expansion, HyDE, and Reranking).
• AI Orchestration Mastery: Advanced proficiency in ADK or similar model abstraction tools, with a strong grasp of the operational trade‑offs between LLMs and SLMs.
• Evaluation Rigor: Familiarity with AI evaluation frameworks (RAGAS, DeepEval) and the use of LLMs to generate synthetic testing suites for benchmarking.
• Analytical & Scale‑Minded: Strong ability to apply complex data structures and algorithms to solve scaling bottlenecks and non‑deterministic logic problems.
• Cloud Architecture: Experience deploying and managing scalable AI services in cloud environments (GCP, AWS, or Azure).
• Communication & Leadership: Excellent communication skills with a track record of leading high‑performing engineering PODs and collaborating with cross‑functional stakeholders.

Benefits

• Generous PTO and 11 paid holidays, plus well‑being and volunteer time off.
• Up to 16 weeks of fully paid parental leave and a baby stipend.
• Multiple medical plan options with mental health and wellness support offerings.
• 401(k) with company match and vesting after one year.
• $400 annual well‑being stipend and tuition assistance up to $5,250.
• Recognition Rewards, Referral bonuses, exclusive discounts and more!

Annual Pay Range: 154,600 - 180,000 USD

Equal Opportunity employer committed to attracting and retaining the best‑qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status of a veteran of the Armed Forces, or any other basis protected by federal, state or local law.