Founding AI/ML Engineer
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Role details
Tech stack
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Job description
You’ll be an early engineer shaping the company’s AI backbone, processing massive video, audio, and text datasets to surface investigative leads. The work spans backend infrastructure and applied ML: building retrieval pipelines, integrating LLMs/VLMs, and deploying secure, distributed systems. You should be comfortable shipping end-to-end, from data flow design to production deployment in sensitive environments, and thrive in fast-paced, high-impact settings.
Requirements
- Backend Grounding: You can build resilient, secure distributed systems, with comfort across programming languages (especially Python, React, etc.) and infrastructure providers.
- AI Depth: Experience deploying LLMs, VLMs, and/or other ML in real-world settings. Bonus if you’ve worked with or are excited by agentic experiences: systems that reason, plan, and take actions across data.
- Data Versatility: You’ve designed RAG or similar pipelines for unstructured data, and know how to build for structured data too (query planning, semantic modeling, or structured reasoning).
- Adaptability: The team moves fast, and new models and approaches to infrastructure are constantly coming online. You are naturally curious and keep up with the latest in AI., * Mission-Driven: Excited to contribute to U.S. government competence and public safety.
- Owner-Builder Mindset: Bias toward action; thrives in extremely fast-paced environments. Looking to do the best work of your life.
- Comfort with Ambiguity: This is an early-stage startup with many exciting questions to be answered; you run toward unasked and unanswered questions., * Do you have valid U.S. work authorization and are you willing to undergo an FBI background check / CJIS clearance process?
- Are you able to work in-person from NYC or SF at least 3x/week?
- Are you OK with 25% travel on the job?
- Do you have experience with RAG, speech-to-text, or computer vision?
- Why are you interested in this role and joining this company?
- Do you see yourself closer to the Research or Applied side of ML systems?
- Do you see yourself as proficient in general backend engineering?
- Do you have strong English communication skills? This is a requirement due to the company’s customer base.
Benefits & conditions
- Free lunches and dinners
- 3% 401(k) contribution (regardless of employee match)
- Unlimited PTO
- Full health and dental coverage
- Gym reimbursement
- FBI/CJIS clearance sponsorship
- Well-funded and fast-growing
About the company
Our client is a seed-stage public safety technology startup that helps law enforcement search evidence and solve crime. Police and prosecutors across the U.S. use the platform to accelerate investigations into homicides, cold cases, and other major offenses by reducing digital evidence overload. The founding team includes engineers who have previously built national-scale data and defense systems.
Backed by top-tier investors, the company is growing fast with live deployments and paying agency customers. The mission is clear: bring technical excellence to public safety.
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