AI/ML Engineer

BOOST LLC is a dynamic management consulting firm that offers an array of government-compliant back-office solutions to support our teaming partners within the GovCon space. Our consultants are experts in the areas of Accounting, Contracts, Human Resources, Recruiting & Sourcing, and Strategic Pricing and our passion is to guide and propel our partners towards success within this competitive sector.

BOOST is partnering with a cleared small business that provides mission-critical, AI-driven cyber defense and reverse engineering solutions for U.S. Government clients to hire an AI/ML Engineer. This opportunity is 100% onsite located in the Northern Virginia area.

Position Summary:

Serve as an AI/ML Engineer practitioner designing, tuning, and validating machine-learning pipelines that power anomaly detection, retrieval-augmented generation (RAG), and agentic automation at enterprise scale. You will shape technical direction, mentor junior data scientists, and embed robust MLOps practices that deliver decisive advantages to national-security missions.

We are seeking candidates with a range of skills and experience levels, as outlined below:

• Full Performance: High school diploma or GED, applicable training, and at least 5 years of relevant experience.
  
• Senior: High school diploma or GED, applicable training, and at least 8 years of relevant experience.
  

Responsibilities:

• Build, fine-tune, and leverage models for classification, clustering, time-series anomaly detection, and natural-language processing.
  

• Design and implement end-to-end MLOps workflows, including data ingestion, feature engineering, model training, model registry, CI/CD deployment, and drift monitoring, leveraging state-of-the-art tools such as Apache Airflow, Feast, MLflow, Kubeflow, Terraform, and Prometheus/Grafana.
  

• Implement retrieval pipelines with vector databases and large-language-model agentic orchestration.
  

• Perform cost/benefit analyses of emerging AI techniques (multi-agent LLMs, advanced embeddings) and present recommendations to stakeholders.
  

• Collaborate with hunt, reverse-engineering, and DevSecOps teams to operationalize model outputs in high-tempo environments.
  

• Document experiments thoroughly; champion reproducible research and secure-development principles.
  

We are still interested in talking with you if you meet most, but not all, of “Required Qualifications” or have additional experience that complement the “Responsibilities”.

Required Qualifications:

• Proven commitment to “mission-first, people-always" values with zero tolerance for mission failure.
  

• Five plus (5+) years performing hands-on machine-learning engineering or data-science experience, at least 3 in DoD/IC or other highly regulated environments.
  

• Deep proficiency with LLMs and vector databases.
  

• Demonstrated track record delivering ML solutions for anomaly detection, NLP, or cyber-focused analytics.
  

• Strong Python software-engineering skills (testing, packaging, CI/CD).
  

• Commitment to mission-first, people-always leadership with zero tolerance for mission failure.
  

Preferred Qualifications:

• Bachelor’s degree or higher in Computer Science, Data Science, Electrical Engineering, or a related technical field.
  

• Publications or open-source contributions in AI or database security, or adversarial ML.
  

• Experience with LangChain, Agno, TinyTroupe or similar agentic frameworks.
  

• Familiarity with accredited TS/SCI cloud services.
  

Clearance Requirement:

• Must be willing to obtain a TS/SCI with polygraph.
  

Salary Range:

• $150K-$230K (Compensation is commensurate with experience and aligned with the Full Performance, and Senior levels outlined above in the Position Summary.)
  

BOOST is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.