Description:

We are looking for a hands-on AI Engineer to design, deploy, and scale intelligent systems leveraging Model Context Protocol (MCP), LLM-powered automation, and agentic AI. This role focuses on building secure, compliant, and testable architectures within strict SaaS constraints and zero public internet egress. As this technology evolves rapidly, responsibilities may adapt to align with emerging priorities.

Key Responsibilities

MCP Server Platform (30%)

Deploy, configure, and manage MCP servers (tools/providers, resource access, authentication/secrets, observability).
Integrate MCP with internal services and APIs while ensuring compliance with GovCloud security standards.

Conversational AI (10%)

Build Retrieval-Augmented Generation (RAG) pipelines using GovCloud-compatible services (e.g., OpenSearch Service) for grounded responses.

Agentic AI & Orchestration (20%)

Develop agentic workflows for task decomposition, planning, tool use, and multi-agent coordination.
Implement AWS Bedrock guardrails, fallback strategies, and audit trails for safe execution.

Quality Engineering & Testability (10%)

Extend modern test frameworks (e.g., Playwright) to automate UI and API testing using GenAI capabilities.
Integrate MCP tools and agentic AI into test automation for dynamic test generation, intelligent validation, and adaptive error handling.
Ensure structured logging, correlation IDs, and compliance-ready audit records for all test executions.

GovCloud Architecture (20%)

Map prototypes to AWS GovCloud managed services (API Gateway, Lambda, S3, OpenSearch, CloudWatch, KMS).
Deliver solutions fully compatible with AWS GovCloud to maintain zero egress.

Security & Compliance (10%)

Apply least-privilege IAM, KMS-backed secrets, and token scoping for MCP tools.

Qualifications:

Education: Bachelor’s or master’s degree in computer science, AI, Data Science, Machine Learning, or related field OR equivalent professional experience

Experience:

3+ years in AI/ML or software engineering
1 year setting up and operating MCP servers
1 year developing and deploying bots to optimize business processes

• Technical Skills:

Strong Python skills; familiarity with AI/ML frameworks (PyTorch, TensorFlow)
MCP architecture expertise (providers/tools, resource servers, authentication/secrets) o Hands-on experience with GenAI and agentic AI systems
RAG implementation
AWS operations (API Gateway, Lambda, S3, OpenSearch, CloudWatch, KMS) or equivalent experience in Azure/GCloud
Robotic Process Automation (RPA) development experience
CI/CD pipelines with containerization (Docker/Kubernetes)
Structured logging and compliance-driven design

Preferred Qualifications

Experience mapping prototypes to cloud architectures
Familiarity with OpenSearch Serverless in GovCloud
Certifications: AWS ML Specialty, AWS Security Specialty
Prior work in air-gapped environments with zero public egress
Ability to design and implement LLM-based bots with robust dialog management and context handling
Hands-on UiPath development experience
interpersonal skills for collaboration across internal and external stakeholders

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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