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Search Engineer (Software Engineer III)

QED National

  • Birmingham, AL
  • 16 days ago
  • Remote

    Highlights

    As a Full Stack Engineer III on our AI Search & Product Discovery team, you'll build the frontend applications, backend services, and search infrastructure that power highly relevant, personalized search experiences at scale. Build and integrate machine learning inference pipelines, including embeddings, transformer models, query understanding, reranking services, and LLM-powered features.

    Numbers & Facts

    LocationBirmingham, AL (
    Remote
    )
    IndustryStaffing/Employment Agencies
    Company Size50 to 99 employees
    Year Founded1993
    Websitehttp://www.qednational.com/

    Description

    Position Title: Full Stack Engineer - AI Search & Product Discovery

    Location: Remote

    Position Status: Full Time

    About the Role

    We're transforming how millions of industrial buyers discover products through intelligent search experiences powered by AI, machine learning, and modern search technologies.

    As a Full Stack Engineer III on our AI Search & Product Discovery team, you'll build the frontend applications, backend services, and search infrastructure that power highly relevant, personalized search experiences at scale. You'll work across the full development lifecycle, from rapid prototyping and experimentation to deploying production-grade solutions and continuously optimizing performance based on real user behavior.

    This is an ideal opportunity for an engineer who enjoys solving complex problems at the intersection of full-stack development, search engineering, cloud-native architecture, machine learning, and AI-driven user experiences.

    What You'll Do

    Build AI-Powered Search Experiences

    • Design, develop, and deploy scalable Python services that power search retrieval, ranking, recommendation, and discovery experiences.
    • Build and integrate machine learning inference pipelines, including embeddings, transformer models, query understanding, reranking services, and LLM-powered features.
    • Develop robust APIs and microservices that support high-volume search workloads and customer-facing applications.
    • Collaborate with product, engineering, and AI teams to translate business goals into impactful search solutions.
    • Continuously improve search relevance, performance, and user engagement through experimentation and data-driven decision making.

    Develop Modern Full-Stack Applications

    • Build responsive, accessible, and performant user interfaces using React and modern JavaScript frameworks.
    • Create reusable frontend components and establish engineering standards that improve consistency and developer productivity.
    • Partner with UX and Product teams to transform wireframes and Figma designs into intuitive customer experiences.
    • Contribute to frontend architecture decisions that support long-term scalability and maintainability.

    Advance Search & AI Infrastructure

    • Implement hybrid search architectures that combine keyword search, vector search, semantic retrieval, and AI-powered ranking.
    • Build and maintain Elasticsearch/OpenSearch indexing pipelines, query services, and relevance tuning capabilities.
    • Integrate vector databases and retrieval systems such as Pinecone, Weaviate, FAISS, or similar technologies.
    • Develop and optimize Retrieval-Augmented Generation (RAG) and LLM-powered search workflows.
    • Instrument search systems with meaningful metrics, including click-through rate, latency, engagement, and zero-result rates to drive ongoing optimization.

    Build Cloud-Native Systems

    • Develop event-driven, distributed systems using Google Cloud Platform (GCP) services such as Cloud Run, GKE, Pub/Sub, and Cloud Functions.
    • Deploy, monitor, and maintain production services using modern DevOps and observability practices.
    • Own service reliability through testing, monitoring, troubleshooting, and operational excellence.

    Contribute to Engineering Excellence

    • Participate in architecture discussions, technical design reviews, and code reviews.
    • Mentor peers through collaboration and knowledge sharing.
    • Champion engineering best practices, software craftsmanship, and continuous improvement.

    Required Qualifications

    • 4+ years of professional experience in Full Stack Engineering, Backend Engineering, or Software Development.
    • Strong hands-on experience building applications with Python and React.
    • Experience with modern frontend frameworks such as Next.js, Remix, Vite, Gatsby, or similar technologies.
    • Proven experience building and supporting scalable microservices, REST APIs, and/or gRPC services.
    • Experience deploying and operating cloud-native applications in GCP, AWS, or Azure.
    • Experience with Docker, containerized applications, and serverless architectures.
    • Strong understanding of software design patterns, SOLID principles, testing strategies, and maintainable code practices.
    • Experience working with relational and NoSQL databases such as PostgreSQL, MySQL, Oracle, MongoDB, DynamoDB, or similar platforms.
    • Strong communication skills with the ability to collaborate effectively across engineering, product, and architecture teams.
    • Comfortable leveraging AI-assisted development tools to improve productivity and quality.

    Preferred Qualifications

    Search Engineering

    • Elasticsearch, OpenSearch, Solr, Algolia, or other enterprise search platforms.
    • Search relevance tuning, query optimization, indexing strategies, and ranking algorithms.
    • Large-scale search infrastructure and information retrieval systems.

    AI & Machine Learning

    • Generative AI, Large Language Models (LLMs), and AI-powered search experiences.
    • Retrieval-Augmented Generation (RAG).
    • Prompt engineering and LLM orchestration.
    • LangChain, LangGraph, Google ADK, or similar frameworks.
    • Machine learning model deployment and inference pipelines.

    Vector Search & Semantic Retrieval

    • Embeddings and semantic search architectures.
    • Approximate Nearest Neighbor (ANN) search.
    • Pinecone, Weaviate, FAISS, Milvus, or similar vector database technologies.

    Additional Experience

    • Monorepo development environments.
    • Event-driven architectures.
    • Distributed systems at scale.
    • A/B testing and experimentation frameworks.

    About Seneca Resources:

    At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.

    When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.

    About Company

    QED National is a certified Women-Owned Business Enterprise with WBE certification in New York City, New York State, New Jersey and Delaware. A trusted IT advisor to both public and private sector customers, QED National is headquartered in New York City with offices in Albany, NY. Driven by 24 years of industry expertise and guided by strong, ethical practices, QED National helps clients achieve their business objectives by providing innovative IT consulting, reliable staff augmentation and scalable technology solutions that are custom tailored for their needs. Our outstanding service has earned us an extraordinary client retention rate of ninety-five percent.

    PRACTICE AREAS

    Cyber / Information Security

    • Assessments and consulting
    • Advanced security technologies and implementation support services

    IT Management Consulting

    • Data Analytics
    • Project & Program Management
    • Enterprise Architecture and Systems Engineering
    • Governance, Risk & Compliance
    • IT Strategy

    IT Staff Augmentation

    • Providing highly qualified, reliable consultants at cost-effective rates, backed by our reputation for integrity & professionalism

    Technology Solutions

    • A comprehensive portfolio of products and services including, but not limited to RSA, Checkpoint, Information Builders, Commvault, EMC and Schneider Electric/APC

    QED National is led by a strong management team, under the direction of founder and president, Colleen Molter.  Working with selected organizations, chosen for their outstanding products and support services, QED National delivers expert solutions ranging from IT assessments and governance to intelligent data storage and staff augmentation. It all adds up to comprehensive, customized IT business solutions.

    Esteemed Clients and Sustained Growth

    A New York City and New York State Certified Women-Owned Business Enterprise, QED National is a privately held company in continuous operation since 1993.  Recipient of New York City, New York State, Florida, California and Fortune 500 contracts, QED National is proud to have sustained success and growth, including “Inc. Magazine’s 5000 Fastest Growing Firms in America” for nine consecutive years —2009 through 2017. View our full roster of awards.

    QED National humbly, yet firmly, acknowledges its reputation among its clients as a partner that responds diligently—and expeditiously—to provide the highest quality services. The QED National team ambitiously looks forward to all future opportunities to provide such services.

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