ZipRecruiter

Log In

1

Evening Applied Engineer Jobs (NOW HIRING)

Simplex

Senior Applied AI Engineer - Applied AI

New York, NY · On-site

$220K - $300K/yr

AI-assisted engineering isn't a talking point here; agents like Devin, Claude, and Codex are part ... We provide dinner each evening for employees who would like to eat and connect with the team. Lunch ...

Simplex

Senior Applied AI Engineer - Applied AI

New York, NY · On-site

$220K - $300K/yr

AI-assisted engineering isn't a talking point here; agents like Devin, Claude, and Codex are part ... We provide dinner each evening for employees who would like to eat and connect with the team. Lunch ...

Ursa Space Systems

$185 - $199/hr

Applied AI/ML Engineer (multiple positions) Ursa Space turns complex satellite and spatial data ... This role may include pre-scheduled on-call rotations requiring occasional evening or weekend ...

Ursa Space Systems

NY · On-site

$185 - $199/hr

Applied AI/ML Engineer (multiple positions) Ursa Space turns complex satellite and spatial data ... This role may include pre-scheduled on-call rotations requiring occasional evening or weekend ...

MHI

Service Engineer II

Orlando, FL · On-site

This intermediate-level role requires applied engineering knowledge and the ability to manage ... As part of the service organization, the role may require non-core hours and evening coordination ...

next page

Showing results 1-20

All JobsEvening Applied Engineer Jobs

Evening Applied Engineer information

See salary details

$10

$47

$87

How much do evening applied engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for evening applied engineer in the United States is $47.09, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $60.82 per hour, depending on experience, location, and employer.

What cities are hiring for Evening Applied Engineer jobs?

Cities with the most Evening Applied Engineer job openings:

What are the most commonly searched types of Applied Engineer jobs?

The most popular types of Applied Engineer jobs are:

What states have the most Evening Applied Engineer jobs?

States with the most job openings for Evening Applied Engineer jobs include:

Evening Applied Engineer jobs near you
Infographic showing various Evening Applied Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $97,940 per year, or $47.1 per hour.

Senior Applied AI Engineer - Applied AI

New York, NY • On-site

Simplex
See more jobs at Simplexexternal

$220K - $300K/yr

Full-time

Medical, Dental, Retirement

Posted 12 days ago

Job description

This role is on-site M-F in the Flatiron District - New York City, NY.
Our client is a Series A point-of-sale software company in NYC.
They move fast and ship daily. AI-assisted engineering isn't a talking point here; agents like Devin, Claude, and Codex are part of how the team works every day, and engineers who master that leverage ship multiples of what they could alone.
About the Team
Applied AI owns the intelligence layer, including aspects of Merchandising, Custom Reporting, Ecommerce, and Agentic workflows.
This is the team behind our AI Manager - a suite of production agents that handle end-to-end workflows like retail pricing strategies, creating marketing campaigns, maintaining SEO (eCommerce) and developing custom reports that give store owners the insight they need to run a stronger business. This team also owns invoice OCR/CV (structured extraction from messy distributor invoices, with selectable LLM engines) and embedding-based product matching. Nothing here is a demo: every model output lands in front of a real store owner making a real pricing decision.
About the Role
You'll design, build, and iterate on the agents powering our core merchant experience. Working on this mission-critical team, you'll develop production agent and context-layer applications - turning each store's sales history, catalog, and market context into decisions that make independent retailers money. You'll own your models from research to production, and your work ships into stores the same week.
In this role, you will
  • Apply state-of-the-art ML and LLM techniques to problems spanning:
  • Merchandising intelligence (slow-mover detection, price and promotion recommendation, competition and seasonality signals);
  • Document understanding (invoice OCR and structured extraction across LLM engines);
  • Retrieval and ranking (embedding-based product matching on pgvector, catalog dedup, contextual recommendations)
  • Build agent capabilities on top of our Manager Agent platform - task generation, review workflows, and chat over each store's own data
  • Build the evaluation harness for both offline and online techniques, designing experiments and metrics (evals, QA playbooks, Langfuse tracing) that provide deep insight into recommendation quality and merchant impact
  • Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online testing, and iterative improvement - and build autonomous harnesses that let agent squads explore new problem spaces in parallel
  • Collaborate cross-functionally with engineers, PMs, and store owners to ensure our AI drives measurable improvements in merchant revenue and hours saved
  • Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research, models, and techniques into the product lifecycle

Your background looks something like this
  • 5+ years building and shipping robust AI products for large-scale, user-facing or data-driven products
  • Strong software engineering skills (TypeScript and/or Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large-scale parallel development
  • In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring and improvement
  • Proven collaborator and communicator; excels in high-velocity, cross-functional teams
  • Curious, driven by end-user and product impact, and passionate about advancing the state of applied ML and AI
  • BS, MS, or PhD in Computer Science, Engineering, or a related field (or equivalent experience)

Even better
  • Experience with LLM context engineering or harness engineering
  • Experience in mid-training or post-training frontier open-source models
  • Experience with large-scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking)
  • Experience with LLM observability and eval tooling (Langfuse or similar) in production
  • Familiarity with our stack: Next.js, tRPC, Prisma, PostgreSQL with pgvector, Vercel
  • Retail, pricing, or demand-forecasting domain experience - you know why moving a slow SKU matters to a store's cash flow

Compensation
$220k - $300k + Meaningful equity
This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and scope of responsibilities. In addition to base salary, we offer meaningful early-stage equity - this team's work is the foundation the company compounds on. Bonuses can be upward of 50% of base salary based on personal and company performance as well.
Benefits
  • Fully company-covered medical and dental benefits.
  • 401(k)
  • Catered Lunches and Dinners: We provide dinner each evening for employees who would like to eat and connect with the team. Lunch is provided on a weekly basis.

#ZR

Apply