Hybrid AI Engineer - Mentorship, Growth Ladder & Impact

ByteForge Labs; Hampton (VA); Hybrid; USD 78,000 - 104,000; Full time

Benefits offered by this job

Mentorship

Growth ladder

Flexible hours

Job summary

ByteForge Labs is scaling its technology platform across VA, and the AI Engineer we hire becomes one of its load-bearing decisions. The role offers a $78,000 - $104,000 package, mentorship, and growth opportunities, with hybrid work from Hampton or home.

You will re-architect data flows, ensure LightGBM handles peak traffic, and deliver mid-level features while mentoring newer hires in a collaborative environment. This team values accountability and fast learning.

Qualifications

• Proven track record delivering results as a mid-level AI Engineer.
• 3 years of learning when to trust the process and when to break it.
• A collaborator who makes the mid-level review feel less like an exam.
• Reliable, accountable, and committed to following through.
• Ability to learn new technology systems quickly and apply them effectively.
• A team player who lifts up colleagues and shares credit.

Responsibilities

• Re-architect the technology flow so Pandas handles ten times Hampton's current load
• Keep the technology LightGBM service humming through Hampton's holiday traffic surge
• Deliver mid-level-quality features within the $78,000 - $104,000 AI Engineer mandate
• Pull Negotiation telemetry into dashboards ByteForge Labs leaders actually open
• Own the full lifecycle of technology systems from prototype to production
• Build responsive, accessible front-end interfaces with Pandas

Skills

Mid-level AI Engineer

Collaborative teamwork

Mentoring

Adaptability

Tools

Pandas

LightGBM

Job description

ByteForge Labs is scaling its technology platform across VA, and the AI Engineer we hire becomes one of its load-bearing decisions. The role offers a $78,000 - $104,000 package, mentorship, and growth opportunities, with hybrid work from Hampton or home.

You will re-architect data flows, ensure LightGBM handles peak traffic, and deliver mid-level features while mentoring newer hires in a collaborative environment. This team values accountability and fast learning.