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33 Search Solutions Jobs Hiring Near You

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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 ...

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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 ...

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... R Solutions Director and/or Sr. Director of HR * Provides guidance and support to supervisors and managers in administering human resources policies and procedures to ensure that employees are ...

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... R Solutions Director and/or Sr. Director of HR * Provides guidance and support to supervisors and managers in administering human resources policies and procedures to ensure that employees are ...

Node.js Developer

Los Angeles, CA · On-site

$55.25 - $71.50/hr

Developing a suite of public-facing applications on top of this API, experience with developing heavily concurrent solutions is desired. Additional Information This is a full-time position. Health ...

VP of Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

Qualifications 5 + years experience with architectural design of large-scale, highly reliable, and highly available Web based applications. 10 + years experience developing and leading solution ...

iOS Game Developer

Los Angeles, CA

$55.75 - $76.75/hr

We're looking for iOS engineers to join our game studio! You will work on exciting new casual games with very high visibility and will help design game-play features and optimizations on multiple ...

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Infographic showing various 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.