LMI · 4 hours ago
Software Engineer (AI/ML) - Clearance Required
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. They are seeking an experienced Agentic AI / MCP Developer to support the U.S. Army Training Information System (ATIS) program, focusing on designing and operationalizing AI solutions for intelligent automation and decision support.
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Responsibilities
Lead design and development of agentic AI workflows , agents, and MCP servers using the framework ( e.g. Strands, CrewAI , LangGraph ) to support orchestration, generative multi-step reasoning, tool usage, and system interactions
Implement and manage Model Context Protocol (MCP) servers and clients to enable secure, standardized access to ATIS data sources, APIs, and AWS native services
Understand and work with AWS Bedrock for Knowledge Bases, Agents, Agent Groups, Guardrails, etc
Utilization of AWS Bedrock Knowledge base for tuned RAG for various documen t styles and content
Build AI agents that integrate with ATIS applications (e.g., ATIS Portal, ATMC, ATIS Learning, RFMSS, TS-MATS) to orchestrate workflows, interact with MCPs and APIs, interact with LLMs, interact with structure data , and support decision-making
Design and maintain secure API integrations between AI agents and AWS GovCloud services, databases, and microservices
Collaborate with Product Owners, System Architects, UX, and Cybersecurity to translate mission needs into scalable AI-enabled capabilities
Implement guardrails, validation layers, and audit logging to ensure AI behavior is predictable, secure, and compliant with DoD requirements
Integrate agentic workflows into CI/CD pipelines using GitLab and infrastructure-as-code tools (e.g., CloudFormation , Terraform )
Support DevSecOps , IATT, and ATO activities by producing technical documentation, architecture diagrams, and security artifacts related to AI components
Optimize performance, reliability, and cost of AI services in AWS GovCloud environments
Mentor junior developers and contribute to platform-wide AI and automation strategy
Provide surge support across multiple ATIS systems as priorities shift
Qualification
Required
Active Secret security clearance
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field
5+ years of professional software development experience, with at least 2+ years working with AI/ML, automation, or intelligent systems
Hands-on experience building agentic AI systems, autonomous workflows, or complex orchestration pipelines
Demonstrated experience with Python and modern AI frameworks (e.g., OpenAI, LangChain, LlamaIndex, or similar)
Experience designing and consuming RESTful APIs and working with structured/unstructured data sources
Experience working in cloud environments (AWS preferred), including secure networking, IAM, and service integration
Familiarity with CI/CD pipelines, Git-based workflows, and DevSecOps practices
Experience supporting secure or regulated environments (DoD, federal, or enterprise security controls)
Active DoDI 8140-compliant certification (e.g., Security+, CISSP, CISM) or ability to obtain
Preferred
Direct experience with the Strands framework and/or Model Context Protocol (MCP)
Experience building AI agents that interact with enterprise systems, knowledge bases, and operational data
Experience with Kubernetes, Docker, and microservices architectures
Familiarity with FedRAMP, FISMA, RMF, or DoD ATO processes
AWS certifications (Solutions Architect, DevOps Engineer, or AI/ML Specialty)
Experience working in a SAFe Agile Release Train (ART) environment
Background supporting military, defense, or intelligence community systems
Company
LMI
LMI is a consulting firm dedicated to improving the management of government.
Funding
Current Stage
Late StageTotal Funding
$0.25MKey Investors
Mission Daybreak
2022-09-19Grant· $0.25M
2022-07-12Private Equity
2020-12-21Acquired
Recent News
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2025-08-09
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