Senior Software Engineer / AI Enterprise Systems Analyst leading AI-driven product development and integration at Zebra.
Compensation
$96,800.00 - $145,200.00 Annual
Responsibilities
Lead the design, architecture, and development of highly interactive, AI-first frontend systems and custom interfaces using modern frameworks backed by LLM capabilities
Architect and develop intelligent bots and reusable AI modules to ensure seamless alignment across complex databases and existing enterprise applications
Act as the technical anchor for an Agile Scrum team, leading architectural design sessions, establishing coding standards, and implementing AI-assisted developer workflows
Serve as the technical translator between engineering and business stakeholders, analyzing, evaluating, and communicating how modern AI tools can solve complex business problems
Provide confident, timely technical leadership during problem resolution and customer escalations
Requirements
Bachelor of Science degree in Computer Science, Software Engineering, or a related field; or equivalent of 3+ years of practical experience
Nice to have: Experience building autonomous agents or Agentic UI
Nice to have: Experience migrating or integrating legacy Java technologies (JSP, Servlets, Hibernate, JPA)
Nice to have: Experience with AWS and secure automated CI/CD pipelines (GitHub, Maven, SonarQube, Tenable)
We are looking for an experienced Senior Full Stack Engineer to design and implement scalable, production-ready solutions and integrate modern technologies such as LLMs, MCP, and agent-based frameworks into our platforms.
Responsibilities
Develop APIs and microservices for integration with internal and external systems
Build and deploy AI-powered features using LLMs (OpenAI, Azure OpenAI, Hugging Face).
Implement MCP-based integrations for context-aware workflows.
Create and orchestrate AI agents for automation and intelligent decision-making.
Write production-grade code for AI workflows, including prompt engineering, function calling, and agent orchestration.
Coordinates end-to-end delivery of full-stack and GenAI engineering projects, identifying technical resource requirements, managing cross-functional dependencies, and establishing sprint and milestone schedules.
Responsibilities
Coordinates end-to-end delivery of full-stack and GenAI engineering projects, identifying technical resource requirements, managing cross-functional dependencies, and establishing sprint and milestone schedules.
Oversees technical deliverables across modern tech stacks—including backend services (Python, Java, REST APIs), frontend frameworks, relational databases (PostgreSQL, MySQL), NoSQL stores (MongoDB, DynamoDB, Couchbase), and containerized platforms (OpenShift, Kubernetes, AWS ECS) including KDB.
Tracks and coordinates proof-of-concepts (POC's) and production implementations involving Generative AI frameworks (e.g., Lang Chain, Open OpenAI API, Hugging Face models), ensuring alignment with enterprise architecture and AI safety policies.
Verifies adherence to strict software development lifecycle (SDLC) controls, architectural standards, change management protocols, information security policies, and regulatory compliance.
Determines scope, root causes, and impacts of technical risks, blockers, and defect backlogs; actively drives cross-team resolution and mitigation strategies.
Requirements
Bachelor’s degree
University degree
Master’s degree preferred
Nice to have: core banking/financial services systems
Senior Machine Learning Engineer, Agentic Evals and Self-Improvement (Nova)
Develop and maintain full stack software solutions for a federal government client, leveraging cloud, microservices, and data platforms in a hybrid Agile/DevOps environment.
Compensation
$145,000—$160,000 USD
Responsibilities
Employ software development techniques and methodologies for solving tough analytical challenges in support of national security
Use software development skills to automate manual analytical processes
Expand beyond specializations to include front-end user interfaces, back-end microservices, web services, cloud architectures, databases and other persistent data stores
Deploy developed IT solutions, user applications, databases, and other IT capabilities
Design and develop specialized user solutions, applications, and databases using a hybrid Agile approach within a DevOps environment
Requirements
Bachelor's degree or equivalent experience in a related field
Assist in developing AI/automation solutions for RMF processes within the cybersecurity authorization domain.
Compensation
Pay Range $48,100.00 - $86,950.00
Responsibilities
Develop and maintain automation scripts to streamline RMF processes and A&A workflows
Assist in the design, development, and testing of AI‑enabled tools for RMF analysis, security control assessment, and authorization package processing
Create and optimize Python, PowerShell, or JavaScript scripts for data extraction, transformation, and automation of compliance documentation tasks
Support the integration of AI/ML models into existing RMF and A&A tools and platforms
Collaborate with senior developers, security analysts, and authorization professionals to identify automation opportunities in the authorization lifecycle
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