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13 Search Solutions Software Jobs Hiring Near You

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... Vertex AI Search) and Graph Databases (e.g., FalkorDB, Neo4j) to enable multi-step agentic ... Software/Data Engineering experience, with a proven history of leading technical teams. Proven ...

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... Vertex AI Search) and Graph Databases (e.g., FalkorDB, Neo4j) to enable multi-step agentic ... Software/Data Engineering experience, with a proven history of leading technical teams. Proven ...

VP of Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

... and leading solution implementations using ASP.NET, C#, JQUERY, and SQL Server. Visual Studio ... software development methodologies Additional Information This is a full-time position. Health ...

Node.js Developer

Los Angeles, CA · On-site

$55.25 - $71.50/hr

Strong foundation of software engineering, rather than only used JavaScript/jQuery for manipulating ... solutions is desired. Additional Information This is a full-time position. Health Benefits ...

iOS Game Developer

Los Angeles, CA · On-site

$55.75 - $76.75/hr

Experience using instruments for debugging and performance turning iOS applications * 4+ years software development experience * Agile/SCRUM experience * Experience as a team lead preferred but not ...

Senior Node.js Developer

Los Angeles, CA · On-site

$55.25 - $71.50/hr

A strong foundation of software engineering, rather than someone who has only used JavaScript/jQuery for manipulating the DOM in web pages. Contributions to open source projects are a plus. Previous ...

Search Solutions Jobs Information

What are the most popular job types at Search Solutions?

    Infographic showing various Software job openings at Search Solutions in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% Physical, and 50% Remote job distribution.

    Senior Staff Data Engineer - Python / GCP

    Stamford, CT • Remote

    Search Solutions
    Recruiting and Staffing Services • 1 - 10 employees

    $140K - $170K/yr

    Full-time

    Medical, Dental, Vision, Life, Retirement, PTO

    Posted 8 days ago

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    Job description

    Senior Staff Data Engineer is a hands-on role and will be the primary architect and technical lead for the data infrastructure powering our next-generation Agentic AI products. Acting as a hands-on leader, you are responsible for the team’s overall delivery, translating complex product requirements into actionable technical tasks for a small engineering squad. You will design the multi-modal data stores (Vector and Graph) that serve as the "Active Memory" for autonomous agents while remaining deeply embedded in the codebase to drive execution.

    Key Responsibilities

    ● Technical Execution: Lead the technical delivery by translating high-level product roadmaps into actionable development cycles. You will own the task breakdown and manage the workflow to ensure high-quality output from the team

    ● Strategic Data Architecture: Architect and directly implement multi-modal data pipelines that process structured parts catalogs and unstructured sources (PDFs, Word, PNG/SVG diagrams) into specialized Vector and Graph data stores.

    ● Knowledge Layer Development: Design and optimize the storage of embeddings in Vector Databases (e.g., Pinecone, ChromaDB, Vertex AI Search) and Graph Databases (e.g., FalkorDB, Neo4j) to enable multi-step agentic reasoning across disparate data sources.

    ● Agent-Driven Development: Deeply integrate autonomous coding agents into your daily workflow to plan, generate, and refactor data infrastructure and microservices.

    ● Evaluation Pipelines: Collaborate with AI Engineers to build "Gold Dataset" pipelines used for the automated verification, retrieval quality measurement, and "confidence scoring" of AI outputs.

    ● Microservices: Develop and maintain scalable data services and RESTful APIs using Python (FastAPI/Django) to provide structured, validated data.

    ● Cloud Operations: Deploy and monitor high-scale data workloads on GCP (Vertex AI, BigQuery), ensuring system reliability, security, and cost-effectiveness


    Skills and Experience


    10+ years of Software/Data Engineering experience, with a proven history of leading technical teams.

    Proven track record of designing and building production-grade AI data systems.


    Technical Stack: Advanced Python (FastAPI, Pydantic, SQLAlchemy) and SQL mastery for building scalable microservices.

    AI: Hands-on experience with Vector Databases (Pinecone, ChromaDB), RAG pipelines, and GraphRAG patterns.

    Data Tooling: Deep experience with Prefect (preferred) or Apache Airflow or Cloud Composer, BigQuery, and DataProc.

    Cloud Infrastructure: Experienced in working with cloud platforms (GCP, AWS) and deploying data workloads and pipelines at scale.

    Coding Agent: Demonstrated proficiency in using coding agents to accelerate the SDLC and plan and code complex engineering tasks.