Senior AI Platform Developer (17775)

**Federal Project - Applicant must be a United States Citizen or Permanent Residents, with the ability to obtain a Public Trust**

Baer is looking for Senior AI Platform Developer for a 9-month Federal Project located in Woodlawn, MD

Title: Senior AI Platform Developer

Location: Hybrid - Woodlawn, MD (Local to the Area Required)

Duration: 9 months

Rate: All-inclusive

Alignment: W2 or C2C

Overview

Our client is looking for a Senior AI Platform Developer to design, develop, and support a secure, scalable, and governed Enterprise AI Gateway. The role focuses on integrating multiple LLM providers, building reusable AI services and Retrieval-Augmented Generation (RAG) solutions, and implementing enterprise security, Responsible AI, monitoring, and cost-management controls.

Description:

• Design, develop, and maintain enterprise AI gateway APIs, microservices, and shared AI platform capabilities.
• Integrate and orchestrate multiple LLM providers, AI platforms, and enterprise data sources.
• Build RAG solutions using embeddings, vector databases, and enterprise search.
• Develop reusable AI components, SDKs, and standardized integration patterns.
• Implement authentication, authorization, audit logging, data protection, and application security controls.
• Enforce AI governance, Responsible AI, compliance, and risk-management standards.
• Monitor platform performance, availability, usage, reliability, and operational costs.
• Build and maintain CI/CD pipelines and cloud-native deployments using Docker and Kubernetes.
• Troubleshoot production issues and optimize platform scalability, performance, and resilience.
• Collaborate with architecture, security, operations, and application teams to deliver enterprise AI capabilities.

Requirements:

• 5+ years of software engineering experience, including 2+ years developing AI, ML, or Generative AI solutions.
• Strong programming skills in Python, Java, C#, or TypeScript, with experience building REST APIs, microservices, and cloud-native enterprise applications.
• Knowledge of LLMs, prompt engineering, RAG, embeddings, vector databases, AI orchestration, and agentic AI frameworks.
• Experience with Azure or AWS cloud services, production deployments, and enterprise AI gateways, AI platforms, or shared AI services.
• Proficiency in Docker, Kubernetes, CI/CD pipelines, monitoring, logging, troubleshooting, and production support.
• Understanding of OAuth 2.0/OIDC, identity management, API security, and access controls.
• Familiarity with Responsible AI, AI governance, data privacy, and regulatory compliance.
• Experience supporting enterprise-scale or highly regulated environments.
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
• Azure or AWS cloud, AI, or architecture certifications are preferred.

Public Trust Security Clearance is the lowest level of additional background screening that the federal government requires for applicants of certain jobs, which includes completing a form.

Company Overview:

Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.

Baer is an equal opportunity employer including disability/veteran.