
REMOTE - AI Backend Software Engineer
Wilcore Technologies, Inc. · United States
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- Hybrid
- Full-time
- $120,000 / year
- United States
Job highlights
- Design, build, deploy ML models for Veterans.
- Collaborate with cross-functional teams.
- Prepare data, train, and monitor models.
- Ensure security, privacy, and equity standards.
- Translate user needs into ML solutions.
About the role
AI ML Engineer
We are hiring an AI/ML Engineer to help manage, expand and oversee our rapidly growing portfolio of federal contracts.
What you'll be doing:
As an AI/ML Engineer, you’ll help design, build, and deploy machine learning models that improve how Veterans interact with digital services like VA.gov. You’ll collaborate with product managers, data scientists, and engineering teams to support initiatives such as intelligent routing for support requests, personalized content delivery, anomaly detection, and natural language processing for virtual agents. You’ll also play a key role in data preparation, model training, evaluation, and performance monitoring—while ensuring all work aligns with VA’s security, privacy, and equity standards.
What you’ll bring:
- 3–5 years of experience in applied machine learning, data science, or AI engineering roles
- Prompt engineering, agent orchestration, LLM evaluation, Python and backend api design
- Devops experience (for custom backend deployment help)
- Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers
- Experience building and deploying ML models in production using tools like Docker, MLflow, or SageMaker
- Familiarity with data preprocessing, feature engineering, and working with structured and unstructured datasets
- Understanding of NLP techniques, including intent classification, entity recognition, or sentiment analysis
- Python, LangChain, LangGraph, and specific low-code experience.
- Strong grasp of model evaluation, explain ability, and fairness (especially in public service contexts)
- Experience with either: Retool, Airtable integrations, Outsystems, Appian, n8n, Zapier, MS Power Automate
- Ability to translate user needs and operational data into ML solutions that enhance Veteran experience
- Excellent communication skills, including the ability to explain model behavior to non-technical stakeholders
- Experience working in Agile development environments.
- Performs other related duties as assigned.
Requirements:
- Must be a US Citizen and able to work domestically
- Must be able to attain low-level security clearance
Education:
- Bachelor’s degree
Benefits:
- Fully remote
- Annual stipend
- Comprehensive Benefits Package
- Company Match 401(k) plan
- Flexible PTO, Paid Holidays
Wilcore is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Wilcore HR representative to request such an accommodation by emailing hr@wilcore.io
Compensation:
At Wilcore, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.
Key skills/competency:
- AI ML Engineer
- Machine Learning
- Data Science
- Python
- Backend API Design
- DevOps
- NLP
- Prompt Engineering
- Model Deployment
- Agile Development
Skills & topics
- AI Engineer
- ML Engineer
- Machine Learning
- Data Science
- Python
- Backend API
- DevOps
- NLP
- Prompt Engineering
- Remote
How to get hired
- Research Wilcore Technologies: Understand their mission, focus on federal contracts and veteran services.
- Tailor Your Resume: Highlight experience with AI/ML, Python, API design, and DevOps.
- Showcase relevant projects: Emphasize any work with NLP, prompt engineering, or low-code platforms.
- Prepare for technical questions: Be ready to discuss ML model deployment and evaluation.
- Emphasize communication skills: Practice explaining technical concepts to non-technical stakeholders.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the work arrangement for the AI ML Engineer role at Wilcore Technologies?
- The AI ML Engineer position at Wilcore Technologies is fully remote, offering flexibility for candidates across the US.
- What are the security clearance requirements for this AI ML Engineer job?
- Candidates for the AI ML Engineer role must be US Citizens and able to obtain a low-level security clearance.
- What specific Python libraries are essential for the AI ML Engineer role?
- Proficiency in Python is key, specifically with ML libraries like scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers, as well as LangChain and LangGraph.
- Does Wilcore Technologies offer benefits for the AI ML Engineer position?
- Yes, Wilcore Technologies offers a comprehensive benefits package including a fully remote work arrangement, annual stipend, company match 401(k), and flexible PTO.
- What kind of experience is required for the AI ML Engineer role at Wilcore Technologies?
- The role requires 3-5 years of experience in applied machine learning, data science, or AI engineering, with a focus on prompt engineering, API design, and DevOps.
- How does Wilcore Technologies handle accommodations for applicants with disabilities for the AI ML Engineer role?
- Wilcore Technologies provides accommodations for applicants with disabilities. Please contact an HR representative via email at hr@wilcore.io to request assistance during the application process.
- What is the primary goal of the AI ML Engineer role at Wilcore Technologies?
- The primary goal is to design, build, and deploy machine learning models to improve digital services for Veterans, collaborating with various teams and ensuring compliance with standards.
- Is experience with federal contracts or VA systems a plus for this AI ML Engineer position?
- Yes, experience working with healthcare data, VA systems, or federal AI/ML environments is considered a bonus for the AI ML Engineer role.