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 a 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. United States Wage Range: $120,000 – $160,000
AI Backend Software Engineer
Location
United States
Posted
4 days ago
Salary
Not specified
Seniority
Mid Level
Job Description
Role Description
We are hiring an AI/ML Engineer to help manage, expand and oversee our rapidly growing portfolio of federal contracts.
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
- Natural language processing for virtual agents
You’ll also play a key role in:
- Data preparation
- Model training
- Evaluation
- Performance monitoring
All work must align with VA’s security, privacy, and equity standards.
Qualifications
- 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
- Experience with Python, LangChain, LangGraph, and specific low-code platforms
- Strong grasp of model evaluation, explainability, 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
- Bonus: Experience working with healthcare data, VA systems, or federal AI/ML environments
- Experience working in Agile development environments
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
Job Requirements
- 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
- Experience with Python, LangChain, LangGraph, and specific low-code platforms
- Strong grasp of model evaluation, explainability, 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
- Bonus: Experience working with healthcare data, VA systems, or federal AI/ML environments
- Experience working in Agile development environments
- 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
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