AI Full-Stack Developer

Abacus Technology Corporation; Arlington (VA); Presencial; USD 130.000 - 170.000; Jornada completa

Descripción de la vacante

Abacus Technology Corporation seeks an AI Full-Stack Developer to design, configure, develop, and implement secure, scalable enterprise AI solutions for USPS OIG. The role involves front-end and back-end work, data workflows, and cloud integrations with AI/ML capabilities.

You will collaborate with government SMEs, configure enterprise AI tools, and build reusable templates for governance and monitoring. Must be a US citizen and security-cleared work is expected.

Formación

• 5 years of software development experience with at least 2 years in AI tools/tech
• Bachelor’s degree in CS/SE/Data Science or related field
• Experience embedding bias mitigation, explainability, and fairness controls
• Hands-on AI/ML development within an AI framework or platform
• Experience configuring or integrating AI/ML tools
• Knowledge of responsible AI risk management frameworks

Responsabilidades

• Collaborate with government SMEs/users to design and deliver AI governance frameworks and workflows.
• Configure, customize, and integrate enterprise AI tools and platforms.
• Integrate Collibra for data cataloging, glossaries, lineage, and governance workflows.
• Develop AI-enabled capabilities such as intelligent search, document analysis, and summarization.
• Build front-end apps, back-end services, APIs, and cloud integrations with AI/ML.
• Create dashboards and reports to monitor AI system performance and health.
• Develop data pipelines and ML workloads using Databricks (notebooks, Delta Lake, MLflow).
• Support inventories, risk classifications, approval workflows, and post-deployment monitoring.

Conocimientos

Python

Java

JavaScript/TypeScript

React/Angular/Vue

Analytical thinking

Troubleshooting

Documentation

Communication

Security-conscious

Educación

Bachelor’s degree in computer science or related field

Databricks Data Engineer / ML / Generative AI certification

Herramientas

Databricks

MLflow

LangChain

LlamaIndex

semantic search

vector databases

model-serving platforms

Collibra

Unity Catalog

GitHub

Azure DevOps

Jira

Confluence

Databricks Unity Catalog

Descripción del empleo

Overview

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.

EOE/M/F/Vet/Disabled