Senior AI Platform Engineer / Full Stack Software Engineer

Location: Annapolis Junction, MD
Clearance: TS/SCI with Polygraph required
Work Type: On-site
Salary: $190,000-$198,000

Position Overview

We are seeking an experienced Senior AI Platform Engineer / Full Stack Software Engineer to support the development, deployment, and operation of enterprise AI infrastructure and services. This role will help design and maintain the foundational platform that enables artificial intelligence and machine learning capabilities across the organization.

The successful candidate will work on scalable AI services, cloud-native infrastructure, and modern software platforms while supporting the integration of emerging AI technologies into production environments. This position requires strong software engineering, cloud engineering, and platform operations expertise, along with the ability to operate effectively in dynamic and evolving technical environments.

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Key Responsibilities

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Required Qualifications

Education and Experience

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related technical discipline and eight (8) years of relevant experience; OR
• Four (4) additional years of directly related experience may be substituted for the degree requirement.

Technical Qualifications

• Demonstrated experience designing, building, and operating production systems at enterprise scale.
• Experience developing and supporting high-volume web applications and distributed systems.
• Strong understanding of systems integration across diverse technologies, platforms, and services.
• Hands-on experience designing, deploying, and managing cloud-based solutions in Amazon Web Services (AWS).
• Experience administering and deploying applications in Kubernetes environments.
• Strong Python programming and software development skills.
• Experience implementing observability and monitoring solutions, including technologies such as:
  • OpenTelemetry
  • Grafana
  • Prometheus
  • Application Performance Monitoring (APM) platforms
• Experience with Continuous Integration and Continuous Deployment (CI/CD) pipelines.
• Knowledge of DevOps principles, automation practices, and modern software delivery methodologies.
• Ability to lead technical initiatives and influence engineering practices across teams.
• Strong communication, collaboration, and stakeholder engagement skills.
• Ability to operate effectively in environments with evolving requirements and emerging technologies.

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Preferred Qualifications

• Experience supporting AI model serving and inference platforms.
• Experience integrating large language models (LLMs) or generative AI capabilities into enterprise applications.
• Experience with AI orchestration and workflow frameworks, including LangChain or similar technologies.
• Knowledge of vector databases, embeddings, and semantic search technologies.
• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Experience with distributed computing, high-performance computing, or large-scale data processing systems.
• Familiarity with autonomous agent frameworks and emerging AI technologies.

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Knowledge, Skills, and Abilities

• Strong software architecture and platform engineering skills.
• Deep understanding of cloud-native application design and operations.
• Ability to balance reliability, performance, security, and scalability requirements.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to mentor and support technical team members.
• Strong organizational skills and attention to detail.
• Ability to drive technical innovation while maintaining operational excellence.

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Benefits

This position includes a competitive and flexible benefits package, including:

• Medical
  Employer pays 100% of the monthly premium for the employee and 80% for the employee’s dependents.

• Health Savings Account (HSA)
  Save for all medical, dental, vision and prescription expenses by contributing pre-tax money to an HSA account. Employer contributes 50% of the annual deductible (prorated to start date).

• Dental and Vision
  Employer pays 100% of the monthly premium for the employee and 80% for dependents.

• Life Insurance
  100% company-paid Life and Accidental Death & Dismemberment (AD&D) coverage offered to all full-time employees.

• Short-Term Disability
  100% company-paid short-term disability. This benefit pays out 60% of earnings, with a $1,500 maximum for up to 12 weeks.

• Retirement Plan
  Automatic 6% of salary contributed to the company 401(k) plan, fully vested. Employee match encouraged but not required.

• Paid Time Off (PTO) & Holidays
  5–6 weeks of PTO based on tenure with the company, in addition to 11 paid holidays.

• Tuition Reimbursement
  $5,000 annually for courses directly related to job role and responsibilities.

• Training Reimbursement
  Paid training, certification courses, and conferences to support employee career growth.

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We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

https://www.staffed4u.com/