AI/ML Engineer for Federal Systems & RAG Ops

Ignite Digital; Washington; Hybrid; USD 86,000 - 144,000; Full time

Benefits offered by this job

Competitive pay

PTO

Education stipends

Referral bonuses

Federal government work

Volunteer program

Growth opportunities

Supportive colleagues

Job summary

Ignite Digital in the National Capital Region seeks an AI/ML Engineer to independently contribute to developing and optimizing advanced AI/ML systems for a large federal enterprise multi-domain data ecosystem.

You will build and deploy ML models, RAG architectures, and scalable infrastructure, collaborating with diverse stakeholders to accelerate mission-driven insights while operating with autonomy within a larger project-management environment.

Qualifications

• Bachelor’s degree in CS, engineering, mathematics, or related field.
• 3+ years AI/ML professional experience.
• Intermediate certifications (CCSP, CFR, FITSP-M, GSEC, Security+, SSCP) or advanced certifications (SecurityX/CASP+, GCSA, GSLC, CISSP).

Responsibilities

• Independently develop and optimize ML models, pipelines, and platform components.
• Build RAG architectures and high-performing inference systems.
• Create scalable infrastructure to support training, experimentation, and deployment.
• Lead integration of AI/ML models into production systems.
• Conduct advanced troubleshooting and performance tuning.
• Collaborate with stakeholders to accelerate mission-driven insights.

Skills

LLM systems

RAG architectures

ML tooling

Python

JavaScript

Rust

AWS

Azure

GCP

Independent work

Education

Bachelor's degree in CS/Engineering/Math

3+ years AI/ML experience

Tools

MLFlow

Kubeflow

Airflow

Databricks

Vector databases

Job description

Ignite Digital in the National Capital Region seeks an AI/ML Engineer to independently contribute to developing and optimizing advanced AI/ML systems for a large federal enterprise multi-domain data ecosystem.

You will build and deploy ML models, RAG architectures, and scalable infrastructure, collaborating with diverse stakeholders to accelerate mission-driven insights while operating with autonomy within a larger project-management environment.