Forward Deployed Engineer

🔥 2 hours ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IVIX

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🏛️ Government

📋 Compliance

Government • Compliance • Technology

IVIX is a technology company designed to assist tax authorities in increasing audit efficiency and tax revenue. Their platform analyzes publicly available business activity data to provide accurate leads that help promote compliance and deterrence. IVIX focuses on offering insights into shadow economies by providing detailed information on businesses, their revenue, and taxpayer entities. The company operates as a public sector technology partner, utilizing modern data and algorithms to enhance revenue administration. Their solutions are built with input from former IRS commissioners and current tax authorities, ensuring alignment with existing governmental cultural and technological frameworks.

📋 Description

• Join the IVIX Delivery team as a Forward Deployed Engineer • Own customer engagements end to end, from discovery and understanding agency needs to delivering findings and measuring impact • Identify and evaluate external data sources that expose relevant non-compliance • Build collection and integration processes to acquire external data • Transform raw data into reliable, actionable findings through entity resolution, risk signals, scoring, and data validation • Design and build data pipelines, backend services, and analytical solutions for customer investigations and decision-making • Deploy and integrate solutions into customer environments, including on-premises and air-gapped environments • Build analytical and investigative tools, including AI-assisted features grounded in data • Work directly with government customers to understand priorities, workflows, and challenges • Translate customer needs into practical technical solutions • Collaborate with Product and R&D teams and contribute customer insights and reusable solutions to the shared codebase • Validate findings against sources, measure results, and communicate what the data can and cannot support

🎯 Requirements

• 5+ years of hands-on experience building production data systems, backend services, or applied analytics over large-scale, real-world data • Strong hands-on experience with Python and SQL • Experience acquiring, processing, and integrating data from external and imperfect sources, including web data at scale • Experience designing and building data pipelines, backend services, and data-driven solutions • Proven experience working directly with customers, including leading technical discussions, understanding business challenges, and translating requirements into technical solutions • Experience delivering technical solutions into customer or production environments, including environments handling sensitive or regulated data • Strong analytical and problem-solving skills, with the ability to work independently in ambiguous and complex environments • Experience with modern AI tooling, including AI-assisted development and LLM-based applications • Excellent written and verbal communication skills in English • Willingness and ability to travel to customer sites as required • BSc in Computer Science, Engineering, or a related field - an advantage

🏖️ Benefits

• Full-time employment • Remote work in the United States • Opportunity to work with government agencies on real-world, high-impact financial crime and tax-gap problems • Hands-on exposure to AI, OSINT, advanced data analytics, deep neural networks, large language models, predictive modeling, data engineering, and investigative technology • Collaboration with Product and R&D teams • Customer-facing ownership of engagements from discovery through measurable results