← Back to jobs
Full-time

Mid AI/ML Engineer

Competitive

Washington, DCIT & TechnologyPosted 17d ago

You'll complete your application on the employer's website.

Role overview

Job type

Full-time

Salary

Competitive

Posted

17 days ago

Job description

Ignite Digital enables national security agencies to accelerate decisions and improve operational outcomes through technology and mission-focused partnerships. The AI/ML Engineer will independently develop and optimize AI/ML systems, build RAG and inference architectures, create scalable infrastructure, integrate models into production, and troubleshoot performance issues for a federal enterprise data ecosystem.

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

Preferred

  • Experience with scientific datasets or multi-domain research workflows
  • Familiarity with AWS Bedrock, Databricks, vector databases or comparable technologies
  • Strong foundation in prompt engineering or AI agents
  • Experience working with federal clients

Scientific datasets experience

AWS Bedrock familiarity

Databricks knowledge

Vector databases expertise

Prompt engineering foundation

AI agents experience

Federal clients experience

Benefits

PTO

Education stipends

Referral bonuses

Strong emphasis on volunteer and community engagement

Opportunity to shape the future of our industry

Supportive colleagues and management who invest in your growth

On client site with potential for hybrid telework

Company

Digital transformation and AI solutions for national security agencies

Charleston, South Carolina, USA

https://ignite-digital.com/

Founded in 2022

201-500 employees

Qualifications

  • Deep experience building LLM-based systems and RAG architectures
  • Strong proficiency in MLOps tools (e.g. MLFlow, Kubeflow, Airflow)
  • Advanced scripting (e.g. Python, JavaScript, Rust)
  • Expertise deploying models on AWS, Azure, or GCP
  • Ability to work independently with broad responsibilities
  • Secret or TS/SCI eligible
  • 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)
  • On client site with potential for hybrid telework

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information

  • Experience with scientific datasets or multi-domain research workflows
  • Familiarity with AWS Bedrock, Databricks, vector databases or comparable technologies
  • Strong foundation in prompt engineering or AI agents
  • Experience working with federal clients
  • 3+ years AI/ML professional experience.

Required skills

Large Language Model (LLM) Systems, Retrieval-Augmented Generation (RAG) Architectures, MLOps, Python, JavaScript, Rust, Machine Learning Model Deployment, AWS, Microsoft Azure, Google Cloud Platform, Prompt Engineering, AI Agents

Preferred skills

  • Strong foundation in prompt engineering or AI agents, • Experience working with federal clients

Experience

3+ years

Interested in this role?

Apply directly on the employer's website — it only takes a few minutes.

Similar vacancies

Other roles in Washington, DC or IT & Technology

Seattle, New York, San FranciscoIT & TechnologyPosted 30+ Days Ago

As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML…