Description review

AI Engineer

Transparent Search Group · United States · back to the listing

HR standards

57/100

needs work

Title ↔ description

76/100

solid

Reads as

Machine Learning Engineer

97% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

How others title the same work

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Startups

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  • Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
  • Staff AI Engineer - Agent Architecture & Behavior Artisan

The listing, marked up

AI Engineer

Company: X5 Labs
Location: New York, NY preferred (open to anywhere in the US)
Compensation: $200,000 - $350,000 + competitive equity
Employment Type: Full-time
Visa Sponsorship: Visa transfers (OPT, H-1B transfer)

About X5 Labs

X5 Labs is a stealth-mode AI startup building a work model for regulated enterprises: an ambient discovery platform that learns how employees actually work and then augments their workflows with custom AI models deployed end to end inside the customer's environment. It focuses on large regulated enterprises, primarily top-tier banks and financial institutions.

X5 Labs is a Series A company ($23M raised), founded by repeat entrepreneurs with deep roots in Israeli intelligence and AI research, on their second venture together.

The Role

X5 Labs is hiring an AI Engineer (5- 10+ years1 ) to own the technical build-out of a custom AI/LLM platform for one of the top five banks in the US. You will join a tight-knit, execution-focused team that ships real AI in production, working closely with the core engineering team and a marquee enterprise customer. About 20% of the role is customer-facing.

What You Will Do

• Fork and customize the core AI/LLM platform for a top-five bank's environment, owning the build from architecture to deployment.

• Work daily with the Israel-based engineering team to merge customer-specific work into the main product.

• Own production deployments, integrations and reliability in a regulated enterprise environment.

• Serve as the go-to technical contact for the bank's engineering stakeholders.

• Troubleshoot complex production issues end to end with high independence.

What You Bring

• 5- 10+ years2 of engineering experience

• Production AI/LLM systems experience (GenAI, RAG)

• Strong Python, Kubernetes, CI/CD, REST APIs and cloud (AWS, GCP or Azure)

• Comfort as the technical point of contact for enterprise stakeholders

• Experience in regulated enterprise environments (banking a plus)

Tech Stack

Python, LLMs, GenAI, RAG, Kubernetes, CI/CD, REST APIs, AWS/GCP/Azure

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 16 points (from 73 before penalties). Reviewed 27 Sep 2026.