Senior AI Engineer

Datasignify

Posted 1mo ago

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Design and implement production-grade AI agent systems using LangGraph and AgentCore frameworks
Develop and maintain agentic AI solutions integrating with enterprise systems
Build and optimize MCP servers and clients for agent-to-system communication
Architect scalable Python-based applications for AI workflows and multi-agent orchestration
Ensure systems comply with Database Technology Security Standard and Secure Coding standards
Implement secure coding practices aligned with CIS and DISA STIG guidelines
Integrate technical controls and security baselines into agent systems
Maintain audit trails and nonrepudiation requirements for AI agent operations
Integrate AI agents with enterprise databases and applications
Support deployment of agents in SOC2 and HITRUST-compliant environments
Maintain systems at vendor-approved release versions
Partner with Information Security and Database Administration teams on incident response
Contribute to organizational security awareness and best practices documentation

5+ years professional Python development experience
3+ years hands-on experience with LangGraph framework and agentic AI system design
2+ years experience building and deploying AI Agents in production environments
2+ years experience developing and managing MCP servers and clients
2+ years experience with AgentCore or equivalent enterprise AI orchestration frameworks
Understanding of multi-agent system architecture and agent communication patterns
Proficiency in secure coding practices and application security design
Experience with enterprise database technologies and data governance
Understanding of healthcare/enterprise security standards and compliance frameworks
Experience implementing audit logging and nonrepudiation controls
Familiarity with SOC2, HITRUST, or equivalent compliance requirements
Knowledge of CIS and DISA STIG guidelines
Experience working in regulated environments like healthcare or financial services

Experience with vector databases and retrieval-augmented generation (RAG) systems
Familiarity with enterprise API gateway and service mesh technologies
Background in healthcare IT or HIPAA-regulated environments
Contributions to open-source AI/ML projects
Certifications in security (CISSP, CCSK) or cloud platforms (AWS, Azure)

Skills