AI Engineer

First seen Oct 24, 2026 · open on Breezy as of Nov 6, 2026

$130,000–$160,000Washington, DCHybridFull-time

Designs and delivers end-to-end generative AI solutions for customer missions, from problem definition and model development through evaluation, deployment, and ongoing optimization.

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At a glance

Posted base pay

$130K–$160KBelow the median

Midpoint $145K · median $190K

Median $190K

This job$130K–$160KSenior FDE postings1,849 postings · middle 50% of posted pay$160K–$220K

The work

Builds what the customer runs

Balance Mostly building

Project stages

Pre-sales (not covered)
Proof of concept
Implementation
Operations

Coding: Writes production code
Builds for: External customers
Level: Senior
Role: Individual contributor

What they ask for

Experience

3+ yearsbuilding and deploying AI/ML models
1+ yearsdeveloping products or functional prototypes using LLMs and RAG technologies

Background

Software engineering

Do you meet what the posting states?

The posting asks for 1+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Washington, DC. Could you work there?

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Conditions

Location: Washington, DC
Work arrangement: Hybrid
Remote work restrictions: Hybrid in the DMV; local to the DC/VA/MD metropolitan area.
Employment type: Full-time
Pay: Pay details
$130,000 – $160,000 / year

What you’ll do

Design, build, and deploy generative AI systems for customer missions.
Develop end-to-end AI solutions, from problem definition through deployment.
Optimize model and system performance through iterative improvements.
Translate customer needs into scalable solutions with program and technical teams.

What you’ll bring

Bachelor's degree in Computer Science, Data Science, AI, or a related discipline.
3+ years of experience building and deploying AI/ML models.
1+ year developing products or functional prototypes using LLMs and RAG.
Expertise in generative AI frameworks such as GAN, GPT, and LangChain.