Senior Software Engineer (Search)

GovDash•New York, NY

4d•$190,000 - $220,000

About The Position

We are building the rails to do business with the government. GovDash is an AI company helping businesses find, win, and manage government contracts. Our platform automates business development, capture, proposal, and contract workflows end-to-end. This helps contractors grow faster and better serve government missions. Our small, talent-dense team includes engineers from Google, Lockheed Martin, and CACI, along with veteran proposal managers and capture leaders. This mix of AI talent and deep GovCon expertise uniquely positions us to redefine how contractors work. In just 12 months, GovDash has scaled to millions in ARR and become the platform of choice for contractors nationwide. We are now building an AI-first ERP for government contractors and, ultimately, the most powerful procurement platform ever created. Join us. About the Role We're hiring a Software Engineer (Search) to help build GovDash's search, recommendation, and knowledge systems. This role is for engineers who enjoy working with data at scale, building intelligent retrieval pipelines, and creating systems that help users find exactly what they need across massive document sets. You'll work on search infrastructure, recommendation engines, and data pipelines that power discovery across the platform. While you'll work across the stack, this role leans backend and emphasizes search systems, data engineering, and retrieval-augmented AI. This role has a $190,000-$220,000 base salary range plus equity and is based in New York City.

Requirements

2+ years of professional software engineering experience.
Strong backend development experience with TypeScript / Node.js.
Experience with search systems, data pipelines, or recommendation engines.
Comfort working with large, messy, real-world datasets.
Strong CS fundamentals, sound architectural judgment, and experience scaling production systems.
Self‑starter with an ownership mentality who thrives in a fast‑paced startup environment.
Clear communicator who collaborates effectively across disciplines.

Nice To Haves

Experience with embeddings, vector search, or retrieval-augmented generation (RAG).
Background in data science, information retrieval, or recommendation systems.
Experience with web scraping and data integration at scale.
Familiarity with government contracting data or public-sector data sources.
Experience building LLM-powered search or knowledge applications.

Responsibilities

Design, build, and scale backend services that power search, recommendations, and relevant data retrieval.
Build and optimize data pipelines that ingest, normalize, and index large volumes of government and enterprise data.
Create retrieval pipelines using embeddings to search and reason across thousands of documents.
Solve entity resolution challenges across messy, real-world datasets: de-duping, merging, cleaning, validating, and structuring data for downstream use.
Collaborate closely with product and engineering peers to deliver data-driven features.
Own projects end-to-end, from technical design and implementation through deployment and iteration.

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