Senior Applied AI Engineer | Series A AI Startup

evoke; New York (NY); On-site; USD 220,000 - 300,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

401(k)

Equity

Job summary

evoke in New York, NY is seeking a Senior Applied AI Engineer for an on-site role. You will work on the operating system for independent retail, building AI-powered agents to run stores. You’ll own projects end-to-end, shipping production AI/ML features, and collaborating with a small, focused team in a fast-growing Series A environment.

Equity opportunities accompany a strong compensation package. Join a tight-knit team that handles end-to-end product development—from data pipelines to deployed

Qualifications

• 5+ years building and shipping AI/ML products in production.
• Hands-on experience with LLM agents, retrieval, evals and the full model lifecycle.
• Wants to own outcomes end-to-end and move fast.
• Bonus: post-training/fine-tuning open-source models, retrieval/ranking, forecasting or pricing.

Responsibilities

• Develop agents that set prices and optimize inventory movement.
• Detect theft and costly operational mistakes from patterns across sales, staffing and inventory data.
• Read messy supplier documents and turn them into structured data that drives inventory and payments.
• Forecast demand and optimize ordering and staff scheduling.
• Build evaluation systems to prove agents improve revenue and save time.

Skills

AI/ML in prod

LLM agents

Model lifecycle

Ownership mindset

Open-source models

Job description

Senior Applied AI Engineer – New York, NY (On-site) | Series A AI Startup | $220k – $300k & Equity

Most AI products are thin wrappers on someone else’s model. This one is built on proprietary data that no foundation model has access to.

We’re working with a Series A AI company building the operating system for independent retail. Its platform runs the whole business, including point of sale, eCommerce, payments, payroll and wholesale purchasing, which means it holds a uniquely complete picture of each business: in-store and online sales, supplier buying patterns, staffing costs and financial data, all in one place.

That data is the moat, and the AI team’s job is to turn it into agents that run a store.

Why this is different

• Proprietary, cross-channel data. You’ll work with real operational data from a growing network of businesses, not public benchmarks.
• Huge ownership. A team of under 10 engineers is beating competitors with hundreds. Your work defines the product rather than fitting into someone else’s roadmap.
• Real users, fast feedback. Your work goes live with real businesses the same week, and customers tell you directly whether it made them money.
• Momentum. The company has grown 5x year on year, recently raised a Series A, and is expanding into adjacent markets that grow its addressable market more than tenfold.
• AI-native engineering. Agentic coding tools are core to how the team works, and engineers here ship a multiple of what they would elsewhere.

Problems you’ll work on

• Agents that set prices, spot slow-moving inventory and create the promotion to move it
• Detecting theft and costly operational mistakes from patterns across sales, staffing and inventory data
• Reading messy real-world supplier documents and turning them into structured data that drives inventory and payments
• Forecasting demand and optimising ordering and staff scheduling
• Building the evaluation systems that prove each agent actually improves revenue and saves time

What we’re looking for

• 5 years building and shipping AI/ML products in production
• Hands-on experience with LLM agents, retrieval, evals and the full model lifecycle
• Someone who wants to own outcomes end-to-end and moves fast
• Bonus: post-training/fine-tuning open-source models, retrieval/ranking, forecasting or pricing experience

Package

• Base: $220k – $300k , with flexibility for exceptional candidates
• Meaningful early-stage equity
• Fully covered medical and dental, 401(k)
• Fully on-site in New York, working alongside the founding team