Artificial Intelligence Engineer

EMW Staffing Solutions LLC provided pay range

This range is provided by EMW Staffing Solutions LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$130.00/yr - $200.00/yr

Thank you for your consideration. Please apply for further information

Term:
Full Time

$: 130-200k _ Equity

Role: AI/Back End Engineer-Founding Level

Vertical:
Start Up

Location:

New York City

Owning Core AI and Backend Systems:
Design and manage ML systems for ingesting and analyzing large evidence volumes. Data Retrieval Architecture:
Create reliable retrieval/RAG pipelines for quick investigator access to structured and unstructured data. Model Prototyping:
Experiment with LLMs and other novel tools, developing robust production systems for law enforcement. User

Collaboration:

Implement ML features using feedback from detectives and prosecutors, enhancing…

This is a founding AI / backend engineering role. You’ll design and ship the ML systems that power the digital analyst for law enforcement—working closely with the founders, Forward‑Deployed Engineers, and investigators in the field.

• Own core AI and backend systems that ingest, process, and search across large volumes of evidence (calls, reports, documents, transcripts, and more).
• Design and implement retrieval / RAG pipelines for unstructured and structured data, making it fast and reliable for investigators to find what they need.
• Prototype with new models and tools (LLMs, embeddings, vector databases, observability stack), then harden the best ideas into production systems agencies can trust.
• Collaborate closely with Forward‑Deployed Engineers and users to turn real‑world feedback from detectives and prosecutors into concrete ML features and ranking improvements.
• Contribute across the stack when needed (APIs, internal tools, evaluation dashboards) to keep the overall AI surface area robust, monitored, and maintainable.

• 3+ years of professional software engineering experience with strong backend fundamentals (distributed systems, APIs, data modeling) in a modern stack (e.g., Python + Type Script/React or similar).
• Hands‑on experience building and shipping ML/AI systems used by real users, ideally involving LLMs or other deep‑learning models (not just research or PoCs).
• Experience with retrieval / RAG or similar architectures over unstructured text or multi‑modal data (documents, transcripts, logs), including designing data pipelines and evaluation approaches.
• Comfortable working end‑to‑end: from understanding investigator workflows and problem framing, to designing experiments, to deploying and monitoring models in production.
• Strong communication and collaboration skills; able to work directly with founders, Forward‑Deployed Engineers, and non‑technical stakeholders in a small, fast‑moving, mission‑driven team.

• Field‑Driven Engineer – Strong full‑stack engineer (Python + modern frontend) who enjoys leaving the office, sitting with users, and seeing how software actually gets used in the wild.
• Customer‑Obsessed Problem Solver – Comfortable building trust with detectives and agency leadership, asking good questions, and turning messy requirements into clear product and technical decisions.
• High‑Ownership Operator – Thrives in tiny, fast‑moving teams, takes full responsibility for deployments and outcomes, and is happy to do whatever the situation requires (from debugging to running training sessions).
• Mission‑Motivated – Energized by improving public safety and the criminal‑justice system, and comfortable working with sensitive, sometimes difficult case material.
• Startup‑Ready – Has prior experience in early‑stage or talent‑dense environments and is excited by ambiguity, rapid iteration, and having a big say in how the product and company evolve.

You’ll spend your days designing, building, and operating the AI and backend systems that powers “digital analyst” for law enforcement.

• Owning core data and ML pipelines that ingest, process, and search across large volumes of evidence (calls, reports, transcripts, documents,…