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AI Engineer

Job in McLean, Fairfax County, Virginia, USA
Listing for: EnDyna Inc
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

Overview

Join to apply for the AI Engineer role at EnDyna Inc
. At Endyna, Inc., we serve the public interest by providing technical, scientific, and management services to federal agencies. For our EPA contract, we are seeking an AI Engineer to join our team. You will design, develop, and deploy intelligent systems to assist in workflow automation, fraud detection, and resource optimization.

Responsibilities
  • Architect, develop, and maintain AI agents and applications using modern LLMs, reinforcement learning, or hybrid reasoning systems
  • Ingest, preprocess, and fuse multimodal data sources (e.g., text, tabular, image, sensor)
  • Develop supervised, unsupervised, and semi-supervised machine learning models tailored to domain tasks
  • Build and maintain APIs, microservices, and integration layers to support deployment of agent capabilities
  • Design reasoning and decision-making pipelines within agents (e.g., planning, constraint solving, sequential decision-making)
  • Generate multimodal outputs (e.g., reports, visualizations, alerts, summaries)
  • Develop and monitor metrics for agent performance, drift detection, and model validation
  • Collaborate with grants / compliance / audit teams to understand domain needs (waste, fraud, abuse)
  • Conduct code reviews, write documentation, and apply best practices in software engineering and ML operations
  • Stay current with advances in AI/ML, and recommend new tools and architectures for incorporation
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related field required;
    Master’s degree preferred
  • Formal training in machine learning, artificial intelligence, or related field
  • Proven experience developing AI/ML systems, ideally in production
  • Hands-on experience with modern LLMs (e.g., OpenAI, GPT, LLaMA, etc.) or similar large-scale language models
  • Strong proficiency in Python, and familiarity with ML frameworks (Tensor Flow, PyTorch, Hugging Face, etc.)
  • Experience developing APIs, microservices, and deployment tooling
  • Expertise in data ingestion, feature engineering, and multimodal fusion
  • Experience with both supervised and unsupervised learning methods
  • Familiarity with reasoning, planning, or hybrid AI systems
  • Experience in workflow optimization, anomaly detection, fraud/waste/abuse detection (especially in a government or financial domain) is a plus
  • Strong analytical, problem-solving, and communication skills
  • Demonstrated ability to work collaboratively in a team environment
Security, Clearances & Additional Requirements
  • Must be a U.S. citizen or meet required eligibility for government contracts
  • Ability to obtain and maintain any required security clearance or background check
  • Willingness to adhere to contract-specific security, compliance, and auditing protocols
  • Ability and willingness to travel occasionally, if required by contract (e.g., EPA site visits)
Benefits & Perks
  • Competitive salary based on experience and qualifications
  • Medical, dental, and vision insurance for employees and dependents
  • 401(k) with employer match
  • Paid time off (PTO) and holidays
  • Short-term and long-term disability coverage and life insurance
  • Paid parking and access to public transit
How to Apply

Please submit your application through the Endyna Careers portal, including:

  • A cover letter summarizing your relevant experience with AI/ML, agent development, and domain relevance
  • Updated resume / CV
  • Optional: links to Git Hub, published papers or demos of AI/ML systems you’ve built

It is EnDyna’s policy to promote equal employment opportunities. All qualified applicants will receive consideration for employment without regard to sex, race, color, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

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