AI Full-Stack Developer

About the role

Abacus Technology is seeking an AI Full-Stack Developer to design, configure, develop, and implement secure, responsible, and scalable enterprise AI solutions for the U.S. Postal Service (USPS) Office of Inspector General (OIG). This is a full-time position.

Responsibilities

• Work collaboratively with government subject matter experts, users, and teammates to identify, design, develop, and deliver AI governance and management framework configuration, workflows and applications.
• Configure, customize, and integrate enterprise AI tools and platforms.
• Configure and extend Collibra capabilities supporting data cataloging, business glossaries, data lineage, stewardship, data quality, policies, and governance workflows.
• Use Collibra to document ownership, lineage, policies, controls, risk classifications, and governance evidence for AI data and models.
• Develop AI-enabled capabilities such as intelligent search, knowledge assistants, document analysis, summarization, classification, recommendation, and workflow automation.
• Build and maintain front-end applications, back-end services, APIs, databases, and cloud integrations incorporating AI/ML capabilities.
• Create dashboards and reports to provide timely visibility into the performance, reliability, risk, and operational health of production AI systems.
• Develop data pipelines and AI/ML workloads using Databricks, including notebooks, workflows, Delta Lake, Unity Catalog, MLflow, and model-serving capabilities.
• Support AI inventories, use-case registration, risk classification, approval workflows, ongoing monitoring, and auditability.
• Develop role-based responsible AI playbooks for developers, data scientists, product owners, business users, governance teams, risk managers, system administrators, and executive decision-makers.
• Create reusable templates for AI use-case intake, risk classification, model documentation, data documentation, bias testing, fairness assessments, explainability reviews, security reviews, release approvals, and post-deployment monitoring.
• Implement reusable workflow templates within GitHub, Azure DevOps, Jira, Confluence, Collibra, Databricks, and the broader Atlassian environment.

Qualifications

• 5 years experience in software development including at least 2 years with relevant AI tools and technologies.
• Bachelor’s degree in computer science, software engineering, data science, information systems, or a related field.
• Additional experience may be substituted for degree requirements.
• Databricks Data Engineer, Machine Learning, or Generative AI certification desired.
• Must have hands-on experience with AI/ML development and operations within an AI framework or platform, embedding bias mitigation, explainability, and fairness-assessment controls into software-development and operational workflows.
• Demonstrated experience configuring, developing, or integrating AI and ML tools.
• Experience creating role-based technical playbooks and operational guidance.
• Experience developing generative AI or large language model applications.
• Hands-on experience with Databricks or similar tool for data engineering, analytics, machine learning, or AI development.
• Experience with Collibra or a comparable enterprise data-governance platform.
• Experience integrating Collibra with Databricks Unity Catalog preferred.
• Experience with MLflow, LangChain, LlamaIndex, semantic search, vector databases, and model-serving platforms desired.
• Experience implementing bias detection, bias mitigation, model explainability, or fairness-assessment processes.
• Experience with explainability and fairness tools such as SHAP, LIME, Fairlearn, AI Fairness 360, or comparable technologies preferred.
• Proficient in Python and at least one additional language, such as Java, JavaScript, TypeScript, or C#.
• Experience with a modern front-end framework such as React, Angular, or Vue.
• Knowledge of SQL, data modeling, data pipelines, relational databases, and non-relational databases.
• Knowledge of responsible AI and AI risk-management frameworks, including NIST AI RMF and ISO/IEC 42001 desired.
• Strong analytical, troubleshooting, documentation, and communication skills.
• Must be a US citizen.
• Applicants selected will be subject to a U.S. government security investigation and must meet eligibility requirements for access to classified information.